Výsledky vyhledávání - Fuzzy KMeans Clustering algorithm

Empirical analysis of the impact of financial development on the income gap between urban and rural residents in the context of large data using fuzzy Kmeans clustering algorithm.

Autoři: Li, Yao¹ (AUTHOR) liyao1005@163.com

Zdroj: International Journal of Electrical Engineering Education. Oct2025, Vol. 62 Issue 4, p354-369. 16p.

Témata: *INCOME gap, *ECONOMIC development, *PANEL analysis, *FUZZY clustering technique, *CITY dwellers, *BIG data, *WEALTH inequality, *RURAL Americans

K-Means and Fuzzy based Hybrid Clustering Algorithm for WSN

Autoři: Basavaraj M. Angadi Mahabaleshwar S. Kakkasageri

Zdroj: International Journal of Electronics and Telecommunications, Vol vol. 69, Iss No 4, Pp 793-801 (2023)

Témata: wireless sensor networks, cluster, k-means algorithm, fuzzy logic, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Telecommunication, TK5101-6720

Popis souboru: electronic resource

Relation: https://journals.pan.pl/Content/129123/PDF/21_4201_Angadi_L_sk.pdf; https://doaj.org/toc/2081-8491; https://doaj.org/toc/2300-1933

Přístupová URL adresa: https://doaj.org/article/497e5202425a490382f2a89f7e6f98a9

Extended Traffic Crash Modelling through Precision and Response Time Using Fuzzy Clustering Algorithms Compared with Multi-layer Perceptron

Autoři: Iman Aghayan Nima Noii Mehmet Metin Kunt

Zdroj: Promet (Zagreb), Vol 24, Iss 6, Pp 455-467 (2012)

Témata: fuzzy subtractive, fuzzy C-means, hierarchical clustering, Kmeans clustering, multi-layer perceptron, traffic crash severity, Transportation engineering, TA1001-1280

Popis souboru: electronic resource

Relation: http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/1197; https://doaj.org/toc/0353-5320; https://doaj.org/toc/1848-4069

Přístupová URL adresa: https://doaj.org/article/85f25359e6954a5bbaca1a1ae2fb2af9

Trust Cop-Kmeans Clustering Analysis and Minimum-Cost Consensus Model Considering Voluntary Trust Loss in Social Network Large-Scale Decision-Making.

Autoři: Yu, Su-Min Du, Zhi-Jiao Zhang, Xue-Yang a další

Zdroj: IEEE Transactions on Fuzzy Systems; Jul2022, Vol. 30 Issue 7, p2634-2648, 15p

Témata: SOCIAL networks, CLUSTER analysis (Statistics), GROUP decision making, FUZZY systems, DECISION making

Enhanced regression model using cluster based sampling techniques.

Autoři: Dhamodharavadhani, S. Rathipriya, R.

Zdroj: Journal of Intelligent & Fuzzy Systems; 2023, Vol. 44 Issue 2, p3059-3069, 11p

Témata: REGRESSION analysis, SAMPLING (Process), CLUSTER sampling, FUZZY clustering technique

Extended Traffic Crash Modelling through Precision and Response Time Using Fuzzy Clustering Algorithms Compared with Multi-layer Perceptron

Autoři: Aghayan, Iman Noii, Nima Metin Kunt, Mehmet

Zdroj: Promet - Traffic&Transportation; ISSN 1848-4069 (Online); ISSN 0353-5320 (Print); ISSN-L 0353-5320; CODEN POMEEZ; Volume 24; Issue 6

Témata: fuzzy subtractive, fuzzy C-means, hierarchical clustering, Kmeans clustering, multi-layer perceptron, traffic crash severity, text, info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion

URL: https://doi.org/10.7307/ptt.v24i6.1197
https://hrcak.srce.hr/93744
info:eu-repo/semantics/altIdentifier/doi/10.7307/ptt.v24i6.1197

Saldırı Tespit Sistemlerinde K-Means Algoritması ve Silhouette Metriği ile Optimum Küme Sayısının Belirlenmesi. (Turkish)

Alternate Title: Determining the Optimum Number of Clusters with K-Means Algorithm and Silhouette Metric in Intrusion Detection Systems. (English)

Autoři: TOPALOĞLU, Fatih

Zdroj: International Journal of InformaticsTechnologies; nis2024, Vol. 17 Issue 2, p71-79, 9p

Témata: CLUSTERING algorithms, RESEARCH personnel, SILHOUETTES, INTRUSION detection systems (Computer security), INTERNET, METRIC system

Boosting k-means clustering with symbiotic organisms search for automatic clustering problems.

Autoři: Ikotun, Abiodun M. Ezugwu, Absalom E.

Zdroj: PLoS ONE; 8/11/2022, Vol. 17 Issue 8, p1-33, 33p

Témata: K-means clustering, METAHEURISTIC algorithms, BOOSTING algorithms, SEARCH algorithms, MACHINE learning, CENTROID, ALGORITHMS

Application of the K-Means Method for Clustering Capture Fisheries Products in North Aceh with A Data Mining Approach.

Autoři: Nurdin Bustami Meiyanti, Rini a další

Zdroj: Journal of Advanced Zoology. 2023, Vol. 44 Issue 4, p39-49. 11p.

A Forecasting Method Based On K-Means Clustering and First Order Fuzzy Time Series.

Autoři: Imalin, S. Anithakumari, V. Arul Flower Mary, V. M.

Zdroj: Journal of Computational Analysis & Applications. 2024, Vol. 33 Issue 6, p1034-1037. 4p.

Témata: *CLUSTERING algorithms, *TIME series analysis, *FORECASTING, *ARITHMETIC, *CENTROID, *K-means clustering

Automatic Optic Disc Detection in Retinal Images Using FKMT-MOPDF.

Autoři: Wisaeng, Kittipol

Zdroj: Computer Systems Science & Engineering; 2023, Vol. 46 Issue 1, p2569-2586, 18p

Témata: RETINAL imaging, OPTIC disc, K-means clustering, EARLY diagnosis, CALIBRATION, PIXEL density measurement

Clustering documents with labeled and unlabeled documents using fuzzy semi-Kmeans

Autoři: Liu, Chien-Liang Chang, Tao-Hsing Li, Hsuan-Hsun

Zdroj: Fuzzy Sets & Systems. Jun2013, Vol. 221, p48-64. 17p.

Témata: *FUZZY clustering technique, *ALGORITHMS, *ELECTRONIC data processing documentation, *GAUSSIAN mixture models, *FUZZY sets, *EXPECTATION-maximization algorithms, *GAUSSIAN function

Enhanced Music Recommendation Systems: A Comparative Study of Content-Based Filtering and K-Means Clustering Approaches.

Autoři: Mukhopadhyay, Sayak Kumar, Akshay Parashar, Deepak a další

Zdroj: Revue d'Intelligence Artificielle; Feb2024, Vol. 38 Issue 1, p365-376, 12p

Témata: RECOMMENDER systems, K-means clustering, DIGITAL music, MUSICAL perception, ARTIFICIAL intelligence, MUSICAL aesthetics

FC-Kmeans: Fixed-centered K-means algorithm.

Autoři: Ay, Merhad Özbakır, Lale Kulluk, Sinem a další

Zdroj: Expert Systems with Applications. Jan2023, Vol. 211, pN.PAG-N.PAG. 1p.

Témata: *K-means clustering, *DATA distribution, *FUZZY algorithms, *DATA mining

An intelligent heuristic-clustering algorithm to determine the most probable reservoir model from pressure–time series in underground reservoirs.

Autoři: Adibifard, Meisam Sheidaie, Ali Sharifi, Mohammad

Zdroj: Soft Computing - A Fusion of Foundations, Methodologies & Applications. Oct2020, Vol. 24 Issue 20, p15773-15794. 22p.

Témata: *ALGORITHMS, *RESERVOIRS, *GEOLOGICAL modeling, *MONTE Carlo method, *FUZZY clustering technique, *STRESS waves, *GENETIC algorithms

基于任务均衡的双臂三维激光切割机 分区算法研究与验证.

Alternate Title: Research and Verification of Partitioning Algorithm for Dual-Arm 3D Laser Cutting Machine Based on Task-Balancing.

Autoři: 王 靖 舒 雷 林毓培 a další

Zdroj: Journal of Southwest University (Natural Science Edition). Jun2025, Vol. 47 Issue 6, p213-223. 11p.

A Secure Cloud Framework for Big Data Analytics Using a Distributed Model.

Autoři: Salman, Zainab Alomary, Alauddin Hammad, Mustafa

Zdroj: International Journal of Computing & Digital Systems; Feb2024, Vol. 15 Issue 1, p1-10, 10p

Témata: BIG data, VIRTUAL machine systems, PRINCIPAL components analysis, ELECTRONIC data processing

Research on Short-Term Low-Voltage Distribution Network Line Loss Prediction Based on Kmeans-LightGBM.

Autoři: Tang, Zhu Xiao, Yuhang Jiao, Yang a další

Zdroj: Journal of Circuits, Systems & Computers; 9/15/2022, Vol. 31 Issue 13, p1-12, 12p

Témata: RADIAL distribution function, MULTICOLLINEARITY, ELECTRIC power distribution grids, DATA quality, POWER resources, INFORMATION storage & retrieval systems, FORECASTING

Geografický termín: BEIJING (China)

An Analysis of Meteorological Data in Sumatra and Nearby using Agglomerative Clustering

Autoři: Teny Handhayani Irvan Lewenusa

Zdroj: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 8, Iss 2, Pp 234-241 (2024)

Témata: agglomerative, climate change, clustering, meteorology, sumatra, Systems engineering, TA168, Information technology, T58.5-58.64

Popis souboru: electronic resource

Relation: http://jurnal.iaii.or.id/index.php/RESTI/article/view/5663; https://doaj.org/toc/2580-0760

Přístupová URL adresa: https://doaj.org/article/81af4a964e6743729534f3b1ed97580b

Improving Retrieval Performance of Case Based Reasoning Systems by Fuzzy Clustering

Autoři: F. Saadi Baghdad Atmani F. Henni

Zdroj: International Journal of Interactive Multimedia and Artificial Intelligence, Vol 9, Iss 1, Pp 84-91 (2025)

Témata: case based reasoning, case retrieval, classification, data mining, decision support system, fuzzy logic, disease-modifying therapy (dmt), kmeans, Technology

Popis souboru: electronic resource

Relation: https://www.ijimai.org/journal/bibcite/reference/3340; https://doaj.org/toc/1989-1660

Přístupová URL adresa: https://doaj.org/article/b833912161814127a6a50ba3608fa387