K-Hyperparameter Tuning in High-Dimensional Space Clustering: Solving Smooth Elbow Challenges Using an Ensemble Based Technique of a Self-Adapting Autoencoder and Internal Validation Indexes
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| Vydáno v: | Journal on artificial intelligence Ročník 5; s. 75 - 112 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
2023
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| ISSN: | 2579-003X |
| On-line přístup: | Získat plný text |
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| Author | Mambo, Shadrack Muuro, Elizaphan Gikera, Rufus Mwaura, Jonathan |
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| Author_xml | – sequence: 1 givenname: Rufus surname: Gikera fullname: Gikera, Rufus – sequence: 2 givenname: Jonathan surname: Mwaura fullname: Mwaura, Jonathan – sequence: 3 givenname: Elizaphan surname: Muuro fullname: Muuro, Elizaphan – sequence: 4 givenname: Shadrack surname: Mambo fullname: Mambo, Shadrack |
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| Cites_doi | 10.1002/mp.12025 10.1111/j.1750-3639.2009.00270.x 10.3233/IDA-163129 10.31083/j.fbl2708225 10.1016/j.inffus.2020.01.005 10.1016/j.patcog.2019.04.014 10.1016/j.ygeno.2017.06.009 10.1007/s13755-018-0054-0 10.1007/978-3-319-24211-8_4 10.1212/01.NXG.0000464294.88607.dd 10.3934/bioeng.2017.1.179 10.1007/s00357-016-9208-4 10.1186/s13059-019-1898-6 10.1093/bioinformatics/bti079 10.14569/IJACSA.2017.080337 10.1016/j.asoc.2017.08.032 10.26438/ijcse/v7i5.861866 10.1109/TCBB.2021.3088319 10.1109/TVCG.2016.2640960 10.11648/j.ijamtp.20180402.13 10.1145/3360311 10.1007/s00530-015-0494-1 10.3390/app12157515 10.18653/v1/D18-1166 10.1186/s40537-020-0286-0 10.3892/etm.2021.10786 10.1016/j.compbiomed.2017.10.014 10.1080/03610926.2018.1504968 10.1101/2022.06.11.495736 10.1007/s11704-019-8208-z 10.1007/s10044-017-0673-0 10.1177/1558689807302814 10.1111/stan.12111 10.1162/NECO_a_00950 10.1186/s12882-016-0238-2 10.1016/j.ajhg.2021.04.023 10.30871/jaic.v7i1.4947 10.1007/s11548-019-02010-3 10.1007/s40595-016-0086-9 10.1016/j.segan.2022.100849 10.15604/ejef.2018.06.03.001 10.1016/j.forsciint.2020.110194 10.1007/978-3-540-45167-9_56 10.1109/TVCG.2015.2467132 10.1007/978-3-319-49487-6_3 10.38094/jastt1224 10.1038/s41587-019-0336-3 10.1038/nbt.4314 10.1016/j.mlwa.2021.100044 10.1016/j.knosys.2016.11.020 10.2174/156652402006200406080404 10.1155/2017/7573904 10.1016/j.compbiomed.2022.105405 10.3390/a10030105 10.3390/electronics9081295 10.1201/9781315373515-23 10.1177/014107680309600304 10.1371/journal.pone.0210314 10.3390/app112311202 10.1007/s11548-016-1437-9 10.1016/j.kijoms.2018.09.001 10.1016/j.neucom.2018.02.072 10.21817/ijet/2017/v9i4/170904101 10.1016/S2665-9913(20)30168-5 10.1177/1550147717728627 10.1016/j.cmpb.2020.105507 10.5120/19360-0929 10.1016/j.inffus.2018.09.012 10.1016/j.compeleceng.2018.04.023 10.1001/jamanetworkopen.2020.29068 10.1016/j.procs.2016.02.095 10.14419/ijet.v7i2.14.11464 10.1016/j.patcog.2018.02.015 10.1186/s12920-016-0179-4 10.1016/j.jbi.2019.103364 10.3390/e23060759 10.1109/ACCESS.2022.3215568 10.9734/JAMCS/2019/45837 10.1109/ACCESS.2020.2988796 |
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| References | ref57 Zitnik (ref113) 2019; 50 Nayak (ref12) 2017 Moon (ref43) 2019; 37 Wang (ref66) 2020; 102 Pambabay-Calero (ref98) 2018; 39 Dubey (ref9) 2016; 11 Cai (ref69) 2017; 118 Blömer (ref14) 2016 Zhang (ref60) 2021; 108 Pond (ref114) 2005; 21 Tward (ref95) 2019 Ly (ref97) 2018; 72 Serna (ref7) 2019 Sinaga (ref18) 2020; 8 Zubair (ref27) 2021 Salem (ref78) 2018; 68 Giraud (ref41) 2021 Zhao (ref25) 2018; 291 ref46 Xie (ref55) 2020; 20 Wei (ref49) 2021; 18 Zhao (ref72) 2017; 29 Qi (ref85) 2017; 13 Asai (ref38) 2021; 22 Gao (ref96) 2017; 23 Manivannan (ref6) 2017 Shutaywi (ref81) 2021; 23 Luong (ref62) 2017 Becht (ref68) 2019; 37 Onumanyi (ref77) 2022; 12 Tashakkori (ref108) 2007; 1 ref35 Mitsumoto (ref65) 2015; 1 Malav (ref64) 2017; 9 Zhao (ref47) 2018 Rao (ref92) 2018 Yuan (ref37) 2019; 2 Dasgupta (ref29) 2003 Dong (ref102) 2020; 14 Prabhakar (ref67) 2015 Wainwright (ref40) 2019 Silitonga (ref52) 2017; 15 Gerald (ref83) 2018; 4 Misuraca (ref91) 2019; 48 Shi (ref8) 2021; 1 Gupta (ref31) 2019 Meniailov (ref28) 2019; 2386 Shen (ref86) 2017 Rao (ref90) 2015; 3 Fränti (ref10) 2019; 93 Karaca (ref20) 2018; 6 Khan (ref103) 2003; 96 Islam (ref36) 2021; 5 Nidheesh (ref39) 2017; 91 Fuente-Tomas (ref2) 2019; 14 Roy (ref94) 2015; 3 Kusumaningrum (ref84) 2017; 801 Ritter (ref50) 2019; 14 Xiao (ref24) 2017; 21 Hyun (ref58) 2020; 194 Jothi (ref19) 2019; 22 Qi (ref17) 2016 Majhi (ref11) 2018; 4 Keriven (ref34) 2017 Mamat (ref82) 2018; 7 Cho (ref45) 2017 Radhika (ref107) 2019 Tomašev (ref111) 2016 Septiani (ref5) 2022; 3 Xie (ref51) 2016; 9 Yu (ref32) 2018; 68 Lehmann (ref61) 2015; 22 Robinson (ref54) 2020; 2 Punhani (ref15) 2022; 10 Wistuba (ref30) 2015 Ashari (ref13) 2023; 7 Pagnuco (ref23) 2017; 109 Wang (ref42) 2022; 27 Ismkhan (ref4) 2018; 79 Grant (ref16) 2020; 3 Liao (ref44) 2016; 17 Nawrin (ref87) 2017; 8 Liu (ref80) 2016; 23 Devassy (ref21) 2020; 311 Smith (ref112) 2020; 74 Chowdhury (ref106) 2022; 145 Arora (ref3) 2016; 78 Jain (ref99) 2022; 32 Kant (ref22) 2016; 7 ref74 ref105 Ning (ref63) 2017 Brodinová (ref33) 2019; 13 Zebari (ref71) 2020; 1 Thakare (ref110) 2015; 110 Sujatha (ref53) 2018; 8 Nasser (ref115) 2019; 30 Aziz (ref70) 2017; 4 Cockburn (ref100) 2020; 63 de Amorim (ref59) 2016; 33 Hämäläinen (ref89) 2017; 10 Abualhaj (ref88) 2017; 44 Alkhayrat (ref75) 2020; 7 Chouikhi (ref109) 2015 Ran (ref26) 2021; 11 Ahmed (ref1) 2020; 9 Xiong (ref101) 2018; 23 Shakeel (ref79) 2018; 6 Singh (ref48) 2019; 7 Le Mercier (ref104) 2010; 20 Hassani (ref93) 2017; 4 Sarker (ref56) 2017 Ayesha (ref76) 2020; 59 Sun (ref73) 2019; 20 |
| References_xml | – volume: 44 start-page: 209 year: 2017 ident: ref88 article-title: Comparison of five cluster validity indices performance in brain FET-PET image segmentation using k-means publication-title: Medical Physics doi: 10.1002/mp.12025 – volume: 2 start-page: 226 year: 2019 ident: ref37 article-title: Research on K-value selection method of K-means clustering algorithm publication-title: J – start-page: 83 year: 2015 ident: ref67 article-title: PCA and K-means clustering for classification of epilepsy risk levels from EEG signals—A comparitive study between them – volume: 20 start-page: 17 year: 2010 ident: ref104 article-title: Galectins and gliomas publication-title: Brain Pathology doi: 10.1111/j.1750-3639.2009.00270.x – volume: 21 start-page: 1327 year: 2017 ident: ref24 article-title: Davies Bouldin Index based hierarchical initialization K-means publication-title: Intelligent Data Analysis doi: 10.3233/IDA-163129 – volume: 74 start-page: 1 year: 2020 ident: ref112 article-title: Effective use of the McNemar test publication-title: Behavioral Ecology and Sociobiology – volume: 27 start-page: 225 year: 2022 ident: ref42 article-title: Identification of gene-environment interactions by non-parametric kendall’s partial correlation with application to TCGA ultrahigh-dimensional survival genomic data publication-title: Frontiers in Bioscience (Landmark Ed) doi: 10.31083/j.fbl2708225 – start-page: 1 year: 2017 ident: ref6 article-title: Dengue fever prediction using K-means clustering algorithm – year: 2018 ident: ref47 publication-title: Cancer Informatics – volume: 59 start-page: 44 year: 2020 ident: ref76 article-title: Overview and comparative study of dimensionality reduction techniques for high dimensional data publication-title: Information Fusion doi: 10.1016/j.inffus.2020.01.005 – volume: 93 start-page: 95 year: 2019 ident: ref10 publication-title: Pattern Recognition doi: 10.1016/j.patcog.2019.04.014 – volume: 109 start-page: 438 year: 2017 ident: ref23 article-title: Analysis of genetic association using hierarchical clustering and cluster validation indices publication-title: Genomics doi: 10.1016/j.ygeno.2017.06.009 – volume: 6 start-page: 1 year: 2018 ident: ref79 article-title: Cloud based framework for diagnosis of diabetes mellitus using K-means clustering publication-title: Health Information Science and Systems doi: 10.1007/s13755-018-0054-0 – start-page: 71 year: 2016 ident: ref111 publication-title: Unsupervised Learning Algorithms doi: 10.1007/978-3-319-24211-8_4 – volume: 3 start-page: 556 year: 2022 ident: ref5 article-title: Implementation of k-medoids algorithm with Davies-Bouldin-index evaluation for clustering postoperative life expectancy in patients with lung cancer publication-title: Journal of Computer Systems and Informatics – volume: 1 start-page: 1 year: 2015 ident: ref65 article-title: Phenotypic and molecular analyses of primary lateral sclerosis publication-title: Neurology Genetics doi: 10.1212/01.NXG.0000464294.88607.dd – volume: 2386 start-page: 15 year: 2019 ident: ref28 article-title: Using the K-means method for diagnosing cancer stage using the Pandas library publication-title: CEUR Workshop Proceedings – volume: 4 start-page: 179 year: 2017 ident: ref70 article-title: Dimension reduction methods for microarray data: A review publication-title: AIMS Bioengineering doi: 10.3934/bioeng.2017.1.179 – volume: 33 start-page: 210 year: 2016 ident: ref59 article-title: A survey on feature weighting-based k-means algorithms publication-title: Journal of Classification doi: 10.1007/s00357-016-9208-4 – volume: 20 start-page: 1 year: 2019 ident: ref73 article-title: Accuracy, robustness and scalability of dimensionality reduction methods for single-cell RNA-seq analysis publication-title: Genome Biology doi: 10.1186/s13059-019-1898-6 – volume: 21 start-page: 676 year: 2005 ident: ref114 article-title: HyPhy: Hypothesis testing using phylogenies publication-title: Bioinformatics doi: 10.1093/bioinformatics/bti079 – volume: 8 start-page: 264 year: 2017 ident: ref87 publication-title: International Journal of Advanced Computer Science and Applications doi: 10.14569/IJACSA.2017.080337 – volume: 68 start-page: 747 year: 2018 ident: ref32 publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2017.08.032 – volume: 7 start-page: 861 year: 2019 ident: ref48 article-title: Prediction of heart disease by clustering and classification techniques prediction of heart disease by clustering and classification techniques publication-title: International Journal of Computer Sciences and Engineering doi: 10.26438/ijcse/v7i5.861866 – volume: 18 start-page: 1227 year: 2021 ident: ref49 article-title: Computational genomics and molecular medicine for emerging COVID-19 publication-title: IEEE/ACM Transactions on Computational Biology and Bioinformatics doi: 10.1109/TCBB.2021.3088319 – volume: 23 start-page: 1249 year: 2016 ident: ref80 article-title: Visualizing high-dimensional data: Advances in the past decade publication-title: IEEE Transactions on Visualization and Computer Graphics doi: 10.1109/TVCG.2016.2640960 – start-page: 731 year: 2017 ident: ref56 article-title: Segmentation and classification of lung tumor from 3D CT image using K-means clustering algorithm – volume: 8 start-page: 58 year: 2018 ident: ref53 article-title: Building predictive model for diabetics data using K Means Algorithm publication-title: International Journal of Management, IT and Engineering – volume: 39 start-page: 536 year: 2018 ident: ref98 article-title: An alternative to the cochran-(Q) statistic for analysis of heterogeneity in meta-analysis of diagnostic tests based on HJ biplot publication-title: Investigación Operacional – volume: 4 start-page: 50 year: 2018 ident: ref83 publication-title: International Journal of Applied Mathematics and Theoretical Physics doi: 10.11648/j.ijamtp.20180402.13 – volume: 63 start-page: 70 year: 2020 ident: ref100 article-title: Threats of a replication crisis in empirical computer science publication-title: Communications of the ACM doi: 10.1145/3360311 – ident: ref74 – volume: 23 start-page: 303 year: 2017 ident: ref96 article-title: Learning in high-dimensional multimedia data: The state of the art publication-title: Multimedia Systems doi: 10.1007/s00530-015-0494-1 – volume: 12 start-page: 7515 year: 2022 ident: ref77 article-title: AutoElbow: An automatic elbow detection method for estimating the number of clusters in a dataset publication-title: Applied Sciences doi: 10.3390/app12157515 – ident: ref105 doi: 10.18653/v1/D18-1166 – volume: 7 start-page: 1 year: 2020 ident: ref75 article-title: A comparative dimensionality reduction study in telecom customer segmentation using deep learning and PCA publication-title: Journal of Big Data doi: 10.1186/s40537-020-0286-0 – volume: 22 start-page: 1 year: 2021 ident: ref38 article-title: Computational healthcare: Present and future perspectives publication-title: Experimental and Therapeutic Medicine doi: 10.3892/etm.2021.10786 – volume: 91 start-page: 213 year: 2017 ident: ref39 article-title: An enhanced deterministic K-means clustering algorithm for cancer subtype prediction from gene expression data publication-title: Computers in Biology and Medaicine doi: 10.1016/j.compbiomed.2017.10.014 – volume: 48 start-page: 5036 year: 2019 ident: ref91 article-title: BMS: An improved dunn index for document clustering validation publication-title: Communications in Statistics-Theory and Methods doi: 10.1080/03610926.2018.1504968 – ident: ref46 doi: 10.1101/2022.06.11.495736 – start-page: 162 year: 2019 ident: ref95 article-title: 3D mapping of serial histology sections with anomalies using a novel robust deformable registration algorithm – volume: 14 start-page: 241 year: 2020 ident: ref102 article-title: A survey on ensemble learning publication-title: Frontiers of Computer Science doi: 10.1007/s11704-019-8208-z – volume: 22 start-page: 649 year: 2019 ident: ref19 publication-title: Pattern Analysis and Applications doi: 10.1007/s10044-017-0673-0 – start-page: 2527 year: 2017 ident: ref86 article-title: Compressed k-means for large-scale clustering – start-page: 1 year: 2019 ident: ref107 article-title: A comparative study of lung cancer detection using machine learning algorithms – volume: 1 start-page: 207 year: 2007 ident: ref108 article-title: Exploring the nature of research questions in mixed methods research publication-title: Journal of Mixed Methods Research doi: 10.1177/1558689807302814 – volume: 72 start-page: 4 year: 2018 ident: ref97 article-title: Analytic posteriors for Pearson’s correlation coefficient publication-title: Statistica Neerlandica doi: 10.1111/stan.12111 – volume: 29 start-page: 1352 year: 2017 ident: ref72 article-title: Unsupervised 2D dimensionality reduction with adaptive structure learning publication-title: Neural Computation doi: 10.1162/NECO_a_00950 – ident: ref35 – volume: 17 start-page: 1 year: 2016 ident: ref44 article-title: Cluster analysis and its application to healthcare claims data: A study of end-stage renal disease patients who initiated hemodialysis publication-title: BMC Nephrology doi: 10.1186/s12882-016-0238-2 – volume: 108 start-page: 1012 year: 2021 ident: ref60 article-title: A computational approach for detecting physiological homogeneity in the midst of genetic heterogeneity publication-title: The American Journal of Human Genetics doi: 10.1016/j.ajhg.2021.04.023 – volume: 3 start-page: 33 year: 2015 ident: ref90 article-title: Investigation of validity metrics for modified K-means clustering algorithm publication-title: i-Manager’s Journal on Computer Science – volume: 7 start-page: 95 year: 2023 ident: ref13 article-title: Analysis of Elbow, Silhouette, Davies-Bouldin, Calinski-Harabasz, and rand-index evaluation on K-means algorithm for classifying flood-affected areas in Jakarta publication-title: Journal of Applied Informatics and Computing doi: 10.30871/jaic.v7i1.4947 – volume: 1 start-page: 1 year: 2021 ident: ref8 article-title: A quantitative discriminant method of elbow point for the optimal number of clusters in clustering algorithm publication-title: EURASIP Journal on Wireless Communications and Networking – volume: 14 start-page: 1847 year: 2019 ident: ref50 article-title: Hyperparameter optimization for image analysis: Application to prostate tissue images and live cell data of virus-infected cells publication-title: International Journal of Computer Assisted Radiology and Surgery doi: 10.1007/s11548-019-02010-3 – volume: 4 start-page: 171 year: 2017 ident: ref93 article-title: Using internal evaluation measures to validate the quality of diverse stream clustering algorithms publication-title: Vietnam Journal of Computer Science doi: 10.1007/s40595-016-0086-9 – volume: 32 start-page: 100849 year: 2022 ident: ref99 article-title: Which internal validation indices to use while clustering electric load demand profiles? publication-title: Sustainable Energy, Grids and Networks doi: 10.1016/j.segan.2022.100849 – volume: 6 start-page: 1 year: 2018 ident: ref20 publication-title: Eurasian Journal of Economics and Finance doi: 10.15604/ejef.2018.06.03.001 – start-page: 242 year: 2016 ident: ref17 article-title: K-means: An effective and efficient K-means clustering algorithm – volume: 311 start-page: 110194 year: 2020 ident: ref21 article-title: Dimensionality reduction and visualisation of hyperspectral ink data using t-SNE publication-title: Forensic Science International doi: 10.1016/j.forsciint.2020.110194 – start-page: 735 year: 2003 ident: ref29 publication-title: Learning Theory and Kernel Machines doi: 10.1007/978-3-540-45167-9_56 – start-page: 79 year: 2017 ident: ref45 article-title: A machine learning-driven approach to computational physiological modeling of skin cancer – ident: ref57 – volume: 22 start-page: 609 year: 2015 ident: ref61 article-title: Optimal sets of projections of high-dimensional data publication-title: IEEE Transactions on Visualization and Computer Graphics doi: 10.1109/TVCG.2015.2467132 – start-page: 81 year: 2016 ident: ref14 publication-title: Algorithm Engineering doi: 10.1007/978-3-319-49487-6_3 – start-page: 194 year: 2019 ident: ref40 publication-title: High-Dimensional Statistics: A Non-Asymptotic Viewpoint – volume: 1 start-page: 56 year: 2020 ident: ref71 article-title: A comprehensive review of dimensionality reduction techniques for feature selection and feature extraction publication-title: Journal of Applied Science and Technology Trends doi: 10.38094/jastt1224 – volume: 37 start-page: 1482 year: 2019 ident: ref43 article-title: Visualizing structure and transitions in high-dimensional biological data publication-title: Nature Biotechnology doi: 10.1038/s41587-019-0336-3 – volume: 37 start-page: 38 year: 2019 ident: ref68 article-title: Dimensionality reduction for visualizing single-cell data using UMAP publication-title: Nature Biotechnology doi: 10.1038/nbt.4314 – volume: 5 start-page: 100044 year: 2021 ident: ref36 publication-title: Machine Learning with Applications doi: 10.1016/j.mlwa.2021.100044 – volume: 118 start-page: 191 year: 2017 ident: ref69 article-title: A dimension reduction algorithm preserving both global and local clustering structure publication-title: Knowledge-Based Systems doi: 10.1016/j.knosys.2016.11.020 – start-page: 754 year: 2018 ident: ref92 article-title: Exploring the impact of optimal clusters on cluster purity – volume: 20 start-page: 407 year: 2020 ident: ref55 article-title: Computational medicine publication-title: Current Molecular Medicine doi: 10.2174/156652402006200406080404 – year: 2017 ident: ref63 article-title: Computational molecular networks and network pharmacology publication-title: BioMed Research International doi: 10.1155/2017/7573904 – volume: 145 start-page: 105405 year: 2022 ident: ref106 article-title: Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method publication-title: Computers in Biology and Medicine doi: 10.1016/j.compbiomed.2022.105405 – volume: 10 start-page: 105 year: 2017 ident: ref89 article-title: Comparison of internal clustering validation indices for prototype-based clustering publication-title: Algorithms doi: 10.3390/a10030105 – start-page: 1 year: 2015 ident: ref30 article-title: Learning hyperparameter optimization initializations – volume: 9 start-page: 1295 year: 2020 ident: ref1 publication-title: Electronics doi: 10.3390/electronics9081295 – volume: 7 start-page: 222 year: 2016 ident: ref22 article-title: An improved K means clustering with Atkinson index to classify liver patient dataset publication-title: International Journal of System Assurance Engineering and Management – volume: 23 start-page: 571 year: 2018 ident: ref101 publication-title: Data Clustering doi: 10.1201/9781315373515-23 – volume: 96 start-page: 118 year: 2003 ident: ref103 article-title: Five steps to conducting a systematic review publication-title: Journal of the Royal Society of Medicine doi: 10.1177/014107680309600304 – start-page: 1 year: 2015 ident: ref109 article-title: A comparison study of clustering validity indices – volume: 14 year: 2019 ident: ref2 publication-title: PLoS One doi: 10.1371/journal.pone.0210314 – volume: 11 start-page: 11202 year: 2021 ident: ref26 publication-title: Applied Sciences doi: 10.3390/app112311202 – volume: 11 start-page: 2033 year: 2016 ident: ref9 publication-title: International Journal of Computer Assisted Radiology and Surgery doi: 10.1007/s11548-016-1437-9 – volume: 4 start-page: 347 year: 2018 ident: ref11 publication-title: Karbala International Journal of Modern Science doi: 10.1016/j.kijoms.2018.09.001 – volume: 291 start-page: 195 year: 2018 ident: ref25 publication-title: Neurocomputing doi: 10.1016/j.neucom.2018.02.072 – volume: 9 start-page: 3081 year: 2017 ident: ref64 publication-title: International Journal of Engineering and Technology doi: 10.21817/ijet/2017/v9i4/170904101 – volume: 2 start-page: e485 year: 2020 ident: ref54 article-title: Disease-associated and patient-specific immune cell signatures in juvenile-onset systemic lupus erythematosus: Patient stratification using a machine-learning approach publication-title: The Lancet Rheumatology doi: 10.1016/S2665-9913(20)30168-5 – volume: 3 start-page: 509 year: 2015 ident: ref94 article-title: Performance evaluation of some clustering indices publication-title: Computational Intelligence in Data Mining – volume: 13 year: 2017 ident: ref85 article-title: An effective and efficient hierarchical K-means clustering algorithm publication-title: International Journal of Distributed Sensor Networks doi: 10.1177/1550147717728627 – start-page: 464 year: 2019 ident: ref7 – volume: 194 start-page: 105507 year: 2020 ident: ref58 article-title: Exploration of critical care data by using unsupervised machine learning publication-title: Computer Methods and Programs in Biomedicine doi: 10.1016/j.cmpb.2020.105507 – volume: 801 start-page: 012071 year: 2017 ident: ref84 article-title: An automatic labeling of K-means clusters based on chi-square value publication-title: Journal of Physics: Conference Series – start-page: 422 year: 2021 ident: ref27 – start-page: 268 year: 2017 ident: ref62 article-title: A k-means approach to clustering disease progressions – volume: 110 start-page: 12 year: 2015 ident: ref110 article-title: Performance evaluation of K-means clustering algorithm with various distance metrics publication-title: International Journal of Computer Applications doi: 10.5120/19360-0929 – volume: 50 start-page: 71 year: 2019 ident: ref113 article-title: Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities publication-title: Information Fusion doi: 10.1016/j.inffus.2018.09.012 – volume: 68 start-page: 463 year: 2018 ident: ref78 publication-title: Computers & Electrical Engineering doi: 10.1016/j.compeleceng.2018.04.023 – volume: 3 start-page: e2029068 year: 2020 ident: ref16 publication-title: JAMA Network Open doi: 10.1001/jamanetworkopen.2020.29068 – volume: 78 start-page: 507 year: 2016 ident: ref3 publication-title: Procedia Computer Science doi: 10.1016/j.procs.2016.02.095 – volume: 7 start-page: 105 year: 2018 ident: ref82 article-title: Silhouette index for determining optimal k-means clustering on images in different color models publication-title: International Journal of Engineering & Technology doi: 10.14419/ijet.v7i2.14.11464 – volume: 79 start-page: 402 year: 2018 ident: ref4 publication-title: Pattern Recognition doi: 10.1016/j.patcog.2018.02.015 – volume: 15 start-page: 219 year: 2017 ident: ref52 article-title: Clustering of patient disease data by using K-means clustering publication-title: International Journal of Computer Science and Information Security – start-page: 10 year: 2019 ident: ref31 article-title: Clustering validation of CLARA and k-means using silhouette & DUNN measures on Iris dataset – volume: 9 start-page: 1 year: 2016 ident: ref51 article-title: A microRNA biomarker of hepatocellular carcinoma recurrence following liver transplantation accounting for within-patient heterogeneity publication-title: BMC Medical Genomics doi: 10.1186/s12920-016-0179-4 – volume: 13 start-page: 905 year: 2019 ident: ref33 publication-title: Advances in Data Analysis and Classification – start-page: 55 year: 2017 ident: ref12 publication-title: Computational Intelligence in Data Mining – start-page: 3 year: 2021 ident: ref41 publication-title: High-Dimensional Statistics – volume: 102 start-page: 103364 year: 2020 ident: ref66 article-title: Unsupervised machine learning for the discovery of latent disease clusters and patient subgroups using electronic health records publication-title: Journal of Biomedical Informatics doi: 10.1016/j.jbi.2019.103364 – volume: 23 start-page: 759 year: 2021 ident: ref81 article-title: Silhouette analysis for performance evaluation in machine learning with applications to clustering publication-title: Entropy doi: 10.3390/e23060759 – start-page: 6369 year: 2017 ident: ref34 article-title: Compressive K-means – volume: 10 start-page: 115025 year: 2022 ident: ref15 article-title: Binning-based silhouette approach to find the optimal cluster using K-means publication-title: IEEE Access doi: 10.1109/ACCESS.2022.3215568 – volume: 30 start-page: 1 year: 2019 ident: ref115 article-title: Investigating k-means and kernel k-means algorithms with internal validity indices for cluster identification publication-title: Journal of Advances in Mathematics and Computer Science doi: 10.9734/JAMCS/2019/45837 – volume: 8 start-page: 80716 year: 2020 ident: ref18 article-title: Unsupervised K-means clustering algorithm publication-title: IEEE Access doi: 10.1109/ACCESS.2020.2988796 |
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