Výsledky vyhledávání - improved K-means clustering algorithm

Research on the Analysis of User Power Consumption Behavior Characteristics based on the Improved K-means Clustering Algorithm

Autoři: Qingmei Qin She Li Wenhao Wang

Zdroj: 2025 IEEE 8th Information Technology and Mechatronics Engineering Conference (ITOEC). :1603-1608

Research on Improved k-Means Clustering Algorithm Based on Density-Weighted Canopy

Autoři: Ting Wang

Zdroj: 2025 8th International Symposium on Big Data and Applied Statistics (ISBDAS). :592-595

An Efficient Division Method of Traffic Cell Based on Improved K-means Clustering Algorithm for the Location of Infrastructure in Vehicular Networks

Autoři: Hui Yan Yaqi Shi Yunxin Long a další

Zdroj: IEEE Transactions on Vehicular Technology. 74:1959-1967

Identification of Financial Distress in Companies Based on Improved K-Means Clustering Algorithm

Autoři: Lina Feng Lidong Zheng Yan Jin

Zdroj: 2025 International Conference on Intelligent Systems and Computational Networks (ICISCN). :1-5

Design and research of online learning system based on improved differential evolution K-Means clustering algorithm

Autoři: Yuchen Shi Jiaxin Tian

Zdroj: Journal of Computational Methods in Sciences and Engineering.

An improved preconditioned unsupervised K-means clustering algorithm.

Autoři: Sun, Tiantian Peng, Xiaofei Ge, Wenxiu a další

Zdroj: Computational Statistics. Nov2025, Vol. 40 Issue 8, p4187-4207. 21p.

Témata: *K-means clustering, *GAUSSIAN mixture models, *ALGORITHMS, *CLUSTER analysis (Statistics), *MACHINE learning

Clustering based on Hybridization of Genetic Algorithm and Improved K-Means (GA-IKM) in an IoT Network

Autoři: Moez Elarfaoui Nadia Ben Azzouna

Zdroj: International Journal of Wireless & Mobile Networks. 16:19-35

Intelligent Analysis and Processing of Big Data Based on Improved K-Means Clustering Algorithm

Autoři: Qing Tan

Zdroj: 2024 International Conference on Internet of Things, Robotics and Distributed Computing (ICIRDC). :254-259

Local search-based meta-heuristics combined with an improved K-Means++ clustering algorithm for unmanned surface vessel scheduling.

Autoři: Tang, Weiyu Gao, Kaizhou Ma, Zhenfang a další

Zdroj: International Journal of Production Research. Sep2025, Vol. 63 Issue 17, p6339-6363. 25p.

Témata: *SCHEDULING, *HEURISTIC, *ARTIFICIAL intelligence, K-means clustering, BOATS & boating, COMPUTER performance, METAHEURISTIC algorithms

Enhancing Big Data Clustering: The Improved K-Means - Artificial Bee Colony Algorithm with MapReduce

Autoři: null Satish S. Banait

Zdroj: Panamerican Mathematical Journal. 33:125-134

Analysing social media with an Improved K-Means Clustering Algorithm

Autoři: null Sujeet Kumar Sahani null Dr. Sonam Singh

Zdroj: International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 10:31-38

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

K-Means Clustering Algorithm Based on Improved Differential Evolution

Autoři: Lei An Xiaohua Sun Yan Wang

Zdroj: Information Dynamics and Applications. 3:200-210

EGLK-Means: An Improved K-Means Clustering Algorithm with Enhanced Global and Local Information

Autoři: Yuzhi Zhang

Zdroj: 2024 3rd International Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC). :215-218

An improved seeds scheme in K‐means clustering algorithm for the UAVs control system application

Autoři: Qian Bi Huadong Sun Cheng Qian a další

Zdroj: IET Communications, Vol 18, Iss 7, Pp 437-449 (2024)

Témata: data analysis, ad hoc networks, pattern clustering, Telecommunication, 0202 electrical engineering, electronic engineering, information engineering, TK5101-6720, 0102 computer and information sciences, 02 engineering and technology, autonomous aerial vehicles, 01 natural sciences

Přístupová URL adresa: https://doaj.org/article/4897391294ca4a36802182243eb4af39

An Improved Robust Fuzzy Local Information K-Means Clustering Algorithm for Diabetic Retinopathy Detection

Autoři: Huma Naz Tanzila Saba Faten S. Alamri a další

Zdroj: IEEE Access, Vol 12, Pp 78611-78623 (2024)

Témata: Diabetic retinopathy detection, 03 medical and health sciences, 0302 clinical medicine, Fuzzy C Means, 0202 electrical engineering, electronic engineering, information engineering, healthcare, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, unsupervised learning, clustering, TK1-9971, 3. Good health

Přístupová URL adresa: https://doaj.org/article/aea06b4b11464ad7a56d99c66dfe682c

College Employment Recommendation Based on Improved K-Means Clustering and SimRank Algorithm in College Employment Management

Autoři: Qinghe Wang

Zdroj: IEEE Access, Vol 12, Pp 154230-154243 (2024)

Témata: SimRank, college employment system, employment recommendation, cluster center, Electrical engineering. Electronics. Nuclear engineering, K-means, TK1-9971

Přístupová URL adresa: https://doaj.org/article/daba9f090ca54dd891e019b6350513f2

Research on Industrial Control Protocol Clustering Algorithm Based on Convolutional Self-Encoder and Improved K-means

Autoři: Xianji Jin Yuge Jia Zhongwei Li a další

Zdroj: Proceedings of the 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms. :642-646

The Improved K-Means Algorithm for Clustering Optimization: A Comparative Study on VRP Dataset.

Autoři: Nguyen Le Phuong Thao Le Nguyen Hoang Vinh Yu, Vincent F. a další

Zdroj: Proceedings of the International Conference on Industrial Engineering & Operations Management; 2/18/2025, p1-12, 12p

Témata: CLUSTERING algorithms, K-means clustering, VEHICLE routing problem, GAUSSIAN mixture models, SELF-organizing maps

k-Means NANI: an improved clustering algorithm for Molecular Dynamics simulations

Autoři: Lexin Chen Daniel R. Roe Matthew Kochert a další

Zdroj: bioRxiv

Témata: 0301 basic medicine, 03 medical and health sciences, 0103 physical sciences, 01 natural sciences, Article

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38905589
https://pubmed.ncbi.nlm.nih.gov/38496504

Application test of PCA based improved K-means clustering algorithm in analyzing NGO assistance needs in less developed countries

Autoři: Linhui Qin

Zdroj: Applied and Computational Engineering. 27:11-23

Témata: 1. No poverty