Suchergebnisse - challenges in clustering algorithms

Facing-up Challenges of Multiobjective Clustering Based on Evolutionary Algorithms: Representations, Scalability and Retrieval Solutions

Autoren: García Piquer, Álvaro

Weitere Verfasser: University/Department: Universitat Ramon Llull. EALS - Informàtica

Thesis Advisors: Golobardes Ribé, Elisabet, Fornells Herrera, Albert

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Mineria de dades, Clustering, Algoritmes evolutius, Clustering Multiobjectiu, Grans Volums de Dades, Minería de datos, Algoritmos evolutivos, Clustering Multiobjetivo, Grandes Volúmenes de Datos, Data Mining, Evolutionary Algorithms, Multiobjective Clustering, Large Data, Les TIC i la seva gestió

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/80090

A Density-Based Fuzzy Clustering Algorithm Using Multi-Representatives Points Per Cluster Based on a New Distance Measure Using KNN Algorithm.

Autoren: Haghzad Klidbary, S. Javadian, M.

Quelle: International Journal of Engineering Transactions C: Aspects; Dec2025, Vol. 38 Issue 12, p2865-2876, 12p

Schlagwörter: CLUSTERING algorithms, PRIME numbers, K-nearest neighbor classification, MACHINE learning, FUZZY logic

A Taxonomy of Machine Learning Clustering Algorithms, Challenges, and Future Realms

Autoren: Shahneela Pitafi Toni Anwar Zubair Sharif

Quelle: Applied Sciences, Vol 13, Iss 6, p 3529 (2023)

Schlagwörter: clustering algorithms, taxonomy of clustering algorithms, challenges in clustering algorithms, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2076-3417/13/6/3529; https://doaj.org/toc/2076-3417

Zugangs-URL: https://doaj.org/article/116c237e8d1848a192f986b331d9e506

A weight clustering algorithm based on sliding window model for stream data

Autoren: Jiashun Chen Jianjing Chen Zhaoman Zhong

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-13 (2025)

Schlagwörter: Sliding window model, Concept drift, Stream data, Data cluster, Weight value, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/23696f12d4f24a4982b100ff67c8a79d

Comparative benchmarking of single-cell clustering algorithms for transcriptomic and proteomic data

Autoren: Yu-Hang Yin Fang Wang Wei Li et al.

Quelle: Genome Biology, Vol 26, Iss 1, Pp 1-34 (2025)

Schlagwörter: Single-cell clustering, Transcriptomics, Proteomics, Feature integration, Biology (General), QH301-705.5, Genetics, QH426-470

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1474-760X

Zugangs-URL: https://doaj.org/article/a230f24b88744705bf11f4292c6ca45d

Efficient Distributed Clustering Algorithms on Star-Schema Heterogeneous Graphs

Autoren: Lu Chen Yunjun Gao Xingrui Huang et al.

Quelle: Chen, L, Gao, Y, Huang, X, Jensen, C S & Zheng, B 2022, 'Efficient Distributed Clustering Algorithms on Star-Schema Heterogeneous Graphs', IEEE Transactions on Knowledge and Data Engineering, vol. 34, no. 10, pp. 4781-4796. https://doi.org/10.1109/TKDE.2020.3047631

Schlagwörter: Algorithm, Distributed Processing, Distributed databases, Clustering algorithms, Scalability, Social networking (online), 0202 electrical engineering, electronic engineering, information engineering, Computational modeling, Heterogeneous graph, 02 engineering and technology, Blogs, Clustering methods, Clustering

Dateibeschreibung: application/pdf

Zugangs-URL: http://www.scopus.com/inward/record.url?scp=85099100886&partnerID=8YFLogxK
https://vbn.aau.dk/da/publications/0e03945b-431d-45ca-af89-d6e466242cec
https://vbn.aau.dk/ws/files/475862826/Efficiently_Distributed_Clustering_Algorithms_on_Star_Schema_Heterogeneous_Graphs.pdf
https://doi.org/10.1109/TKDE.2020.3047631
https://ieeexplore.ieee.org/document/9309404

Effective Analysis of NGS Metagenomic Data with Ultra-Fast Clustering Algorithms (MICW - Metagenomics Informatics Challenges Workshop: 10K Genomes at a Time)

Weitere Verfasser: Li, Weizhong

Quelle: Conference: JGI Metagenomics Informatics Challenges Workshop: 10K Genomes at a Time, U.S. Department of Energy Joint Genome Institute, Walnut Creek, California (United States), October 12 through October 13, 2011

Dateibeschreibung: Medium: AV; Size: 0:29:15; Other: run time: 00:29:15

Zugangs-URL: http://www.osti.gov/scitech/servlets/purl/1038861

On the Effects of Measurement Error and Misclassification on Clustering Algorithms for Mixed-Type Data

Autoren: Veronesi, V ANTOLINI, LAURA VERONESI, VALENTINA

Index Begriffe: Clustering, Dati di tipo misto, Errore di misura, Misclassificazione, Studio simulativo, Mixed-type data, Measurement error, Misclassification, Monte Carlo study, Settore MEDS-24/A - Statistica medica, info:eu-repo/semantics/doctoralThesis

URL: https://hdl.handle.net/10281/465020

MHM-RTC: Multi-Hop Mobility-Based Real-Time Clustering Algorithm for Wide-Area Wireless Sensor Network

Autoren: Md Ridoy Ad Sumon Mushran Siddiqui Gazi M. Ehsan ur Rahman et al.

Quelle: IEEE Access, Vol 13, Pp 155642-155656 (2025)

Schlagwörter: Real-time clustering, Internet of Things, wireless sensor networks, multi-hop, mobile nodes, mobile data sink, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/11142319/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/03c9d6855e164958b776b6156e6e031b

Exploring Clustering Algorithms for Parkinson's Disease Data: A Comparative Analysis

Autoren: null Dip Das null Adepu Rajesh

Quelle: International Journal of Advanced Research in Science, Communication and Technology. :449-455

Schlagwörter: 0301 basic medicine, 03 medical and health sciences, 0504 sociology, 05 social sciences

An Analytical Study of Big Data Clustering Algorithms and its Challenges

Autoren: Padmavathi, P. Eswaramurthy, V.P.

Quelle: International Journal of Engineering and Management Research (IJEMR) 7(1):329-332. 2017

A scalable Consensus Fast Graph Filtering approach for late fusion multi-view clustering.

Autoren: Guo, Yiqing Jiang, Henghui Chen, Yan et al.

Quelle: Signal Processing. Dec2025, Vol. 237, pN.PAG-N.PAG. 1p.

Schlagwörter: *CLUSTERING algorithms, *BIPARTITE graphs, *MATRIX inversion

Bio-Inspired Algorithms for Efficient Clustering and Routing in Flying Ad Hoc Networks

Autoren: Juhi Agrawal Muhammad Yeasir Arafat

Quelle: Sensors, Vol 25, Iss 1, p 72 (2024)

Schlagwörter: aquila optimizer, bio-inspired algorithm, clustering, FANETs, mountain gazelle optimizer, routing, Chemical technology, TP1-1185

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/1/72; https://doaj.org/toc/1424-8220

Zugangs-URL: https://doaj.org/article/466bfdc15e4a4958bdb70a2136944fb8

A/B Testing with a Cluster-based Control Group to Improve Restaurants’ Performance in Online Food Delivery Application

Autoren: Penteado, Luis Henrique Springer Martins, João Francisco Ribeiro da Silva RUN

Weitere Verfasser: Penteado, Luis Henrique Springer Martins, João Francisco Ribeiro da Silva RUN

Schlagwörter: A/B Testing, Clustering Algorithms, Online Food Delivery, Experimental Design, Balanced Samples, SDG 9 - Industry, innovation and infrastructure, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

Dateibeschreibung: application/pdf

Verfügbarkeit: http://hdl.handle.net/10362/191095

Investigating Changes in Student Views of Measurement Uncertainty in an Introductory Physics Lab Course Using Clustering Algorithms

Autoren: Alexandra Werth Benjamin Pollard Robert Hobbs et al.

Quelle: Physical Review Physics Education Research. 2023 19(2).

Peer Reviewed: Y

Page Count: 23

Sponsoring Agency: National Science Foundation (NSF)

Descriptors: Physics, Science Instruction, Thinking Skills, Measurement, Introductory Courses, Laboratory Experiments, Undergraduate Students, Comparative Analysis, Accuracy, Educational Change, Course Descriptions, Teaching Methods, Evidence Based Practice, Outcomes of Education, Student Attitudes

Geografische Kategorien: Colorado (Boulder)

Leading the Way: Reducing network traffic in vehicular Ad Hoc networks through cluster leader algorithms.

Autoren: Ferreira, J.V.G. Freire, M.E.S. Cruz, E.M. et al.

Quelle: Ad Hoc Networks. Nov2025, Vol. 178, pN.PAG-N.PAG. 1p.

Schlagwörter: Vehicular ad hoc networks, Clustering algorithms, Statistical accuracy, Clutter (Noise), Traffic congestion

Integrating fuzzy C-means clustering and shannon entropy with hydrogeochemistry for irrigation water suitability mapping in semi-arid hard-rock terrains.

Autoren: Halder S Banerjee S Youssef YM et al.

Quelle: Environmental geochemistry and health [Environ Geochem Health] 2025 Dec 05; Vol. 48 (1), pp. 30. Date of Electronic Publication: 2025 Dec 05.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Kluwer Academic Publishers Country of Publication: Netherlands NLM ID: 8903118 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2983 (Electronic) Linking ISSN: 02694042 NLM ISO Abbreviation: Environ Geochem Health Subsets: MEDLINE

MeSH-Schlagworte: Agricultural Irrigation* , Groundwater*/chemistry , Groundwater*/analysis , Environmental Monitoring*/methods , Water Pollutants, Chemical*/analysis, India ; Fuzzy Logic ; Entropy ; Cluster Analysis ; Salinity

Efficient Distributed Clustering Algorithms on Star-Schema Heterogeneous Graphs.

Autoren: Chen, Lu Gao, Yunjun Huang, Xingrui et al.

Quelle: IEEE Transactions on Knowledge & Data Engineering; Oct2022, Vol. 34 Issue 10, p4781-4796, 16p

Schlagwörter: DISTRIBUTED computing, COMPUTER systems, DISTRIBUTED algorithms, GAME theory, SOCIAL media, ALGORITHMS

The Fundamental Clustering and Projection Suite (FCPS): a dataset collection to test the performance of clustering and data projection algorithms

Autoren: Ultsch, Alfred Lötsch, Jörn

Index Begriffe: ddc:610, article, doc-type:article

URL: http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/54429
https://nbn-resolving.org/urn:nbn:de:hebis:30:3-544292
https://doi.org/10.3390/data5010013
http://publikationen.ub.uni-frankfurt.de/files/54429/data-05-00013.pdf

Challenges in Placing Wireless Sensor Networks in Jungle

Autoren: Sivamani, C. Kumar, G. Vineeth Priyanka, M. et al.

Quelle: Asian Journal of Research in Social Sciences and Humanities 7(3):124-134. 2017