Výsledky vyhledávání - Optimize the K-Means clustering algorithm

High dimensional text data parallel clustering algorithm based on K-means and SAE.

Autoři: Zhang, Jie

Zdroj: Discover Artificial Intelligence; 10/6/2025, Vol. 5 Issue 1, p1-24, 24p

Témata: K-means clustering, CLUSTERING algorithms, FEATURE extraction, OPTIMIZATION algorithms, FEATURE selection, ELECTRONIC data processing, DIMENSIONAL reduction algorithms

High dimensional text data parallel clustering algorithm based on K-means and SAE

Autoři: Jie Zhang

Zdroj: Discover Artificial Intelligence, Vol 5, Iss 1, Pp 1-24 (2025)

Témata: K-means, S-competitive autoencoder, Dragonfly optimization algorithm, Extreme learning machine, Text clustering, Computational linguistics. Natural language processing, P98-98.5, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2731-0809

Přístupová URL adresa: https://doaj.org/article/84c84e5bfc5d45a4811963fd2180055b

K-means clustering algorithm and image segmentation method for visual design of brocade patterns.

Autoři: Ming, Zheng^1,2 (AUTHOR) mingzheng0603@163.com

Zdroj: Imaging Science Journal. Dec2025, p1-12. 12p. 10 Illustrations.

Témata: *K-means clustering, *IMAGE segmentation, *TEXTILE patterns, *SPATIAL arrangement, *SILK, *CHROMATICITY, *IMAGE reconstruction, *FEATURE extraction

Design of waste management area based on clustering and traveling salesman problem.

Autoři: NABILA, Oktaviana Hasna PRIBADI, Feddy Setio

Zdroj: Environmental Research & Technology; Dec2025, Vol. 8 Issue 4, p1007-1017, 11p

Témata: WASTE management, TRAVELING salesman problem, ENVIRONMENTAL protection, GENETIC algorithms, K-means clustering, WASTE disposal sites, CLUSTERING algorithms

Geografický termín: INDONESIA

Research on WSN clustering algorithm of firefly algorithm to optimize k-means

Autoři: Xinying Zheng

Zdroj: Journal of Physics: Conference Series. 2761:012029

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0104 chemical sciences

Hybrid clustering algorithm with k-means, fuzzy c-means, and hierarchical clustering: A comparative study with grey wolf optimization.

Autoři: Ganguly, Rita Singh, Dharmpal Bose, Rajesh

Zdroj: AIP Conference Proceedings; 2025, Vol. 3394 Issue 1, p1-9, 9p

Témata: K-means clustering, HIERARCHICAL clustering (Cluster analysis), DATA analysis, CLUSTER analysis (Statistics), FUZZY clustering technique, CLUSTERING algorithms, GREY Wolf Optimizer algorithm

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

Analysis of College Students' Consumption Behavior Data Based on Fractional-Order Firefly Optimization Clustering Algorithm.

Autoři: Meng, Xiang He, Qi Dong, Yanhua a další

Zdroj: Applied Sciences (2076-3417); Jul2025, Vol. 15 Issue 14, p7723, 22p

Témata: DATA mining, CLUSTERING algorithms, COLLEGE students, DIETARY patterns, CONSUMPTION (Economics), K-means clustering

Selection of density standard and X–ray tube settings for computed digital absorptiometry in horses using the k–means clustering algorithm.

Autoři: Turek, Bernard Pawlikowski, Marek Jankowski, Krzysztof a další

Zdroj: BMC Veterinary Research. 3/13/2025, Vol. 21 Issue 1, p1-19. 19p.

Témata: Clustering algorithms, Phalanges, Bone density, Cancellous bone, Compact bone

A deep embedded clustering algorithm in conjunction with an ensemble technique for mineral prospectivity mapping.

Autoři: Saremi, Mobin Hoseinzade, Zohre Yousefi, Mahyar

Zdroj: Scientific Reports; 10/30/2025, Vol. 15 Issue 1, p1-17, 17p

Témata: CLUSTERING algorithms, ENSEMBLE learning, GEOLOGICAL mapping, HIERARCHICAL clustering (Cluster analysis), PROSPECTING, GEOSPATIAL data, ARTIFICIAL neural networks, PATTERN perception

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

Efficient vegetation filtering method using K-means clustering algorithm: case study of high steep rock slope.

Autoři: Guan, Shenggong Yuan, Mingsong Liu, Junyang a další

Zdroj: Frontiers in Earth Science; 2025, p1-17, 17p

Témata: K-means clustering, SLOPES (Soil mechanics), DIMENSIONAL reduction algorithms, STRUCTURAL analysis (Engineering), STRUCTURAL geology, PRINCIPAL components analysis, VEGETATION management, INFORMATION filtering

The Strategy of Human Resource Management Based on the K-Means Clustering Algorithm.

Autoři: Li, Lirong Qiu, Dongmei

Zdroj: International Journal of High Speed Electronics & Systems. Sep2025, Vol. 34 Issue 3, p1-15. 15p.

Témata: *PERSONNEL management, *DATA mining, *HUMAN resources departments, *ELECTRONIC data processing, *DECISION making, *K-means clustering

HC-means clustering algorithm for precision marketing on e-commerce platforms

Autoři: Dan Wu Xin Liu

Zdroj: Systems and Soft Computing, Vol 7, Iss , Pp 200236- (2025)

Témata: Big data, Cluster analysis, K-means algorithm, Precision marketing, Customer segmentation, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772941925000547; https://doaj.org/toc/2772-9419

Přístupová URL adresa: https://doaj.org/article/2b232989d3f04880a3c17420a45654b5

Characteristics-Based Least Common Multiple: A Novel Clustering Algorithm to Optimize Indoor Positioning

Autoři: Hamaad Rafique Davide Patti Maurizio Palesi a další

Zdroj: Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics. :301-308

Témata: Least Common Multiple (LCM), Machine Learning, Indoor Localization, Novel Clustering Technique, Clustering

Přístupová URL adresa: https://hdl.handle.net/20.500.11769/685913
https://doi.org/10.5220/0012943900003822

Industry Class Clustering of Software Expertise Competency at SMKN 2 Kraksaan Using Constrained K-Means Clustering Algorithm

Autoři: Matlubul Khairi M. Syafiih Ahmad Khairi

Zdroj: Journal of Computer Networks, Architecture and High Performance Computing. 6:1128-1133

Témata: 4. Education

Classic action recognition of cross-country skiing sports combining ant colony and clustering algorithm.

Autoři: Yu, Hongbo Li, Yuanhui

Zdroj: BMC Sports Science, Medicine & Rehabilitation; 11/13/2025, Vol. 17 Issue 1, p1-15, 15p

Témata: CROSS-country skiing, ANT algorithms, CLUSTERING algorithms, HUMAN activity recognition, SPORTS & technology, ATHLETIC ability, K-means clustering

Construction of College Labor Education Evaluation System Based on Big Data and K-Means.

Autoři: Ying, Zhao¹ (AUTHOR) emily8486@163.com

Zdroj: International Journal of High Speed Electronics & Systems. Dec2025, Vol. 34 Issue 4, p1-23. 23p.

Témata: CLUSTERING algorithms, PARTICLE swarm optimization, ASSESSMENT of education, HIGHER education, CLOUD computing

IMPLEMENTATION OF THE K-MEANS CLUSTERING ALGORITHM IN ANALYZING PUBLIC SATISFACTION REGARDING PUBLIC SERVICES (STUDI CASE: BALAI PENGUJIAN STANDAR INSTRUMEN TANAMAN INDUSTRI DAN PENYEGAR)

Autoři: Atika Juhaedah Alifah Sudin Saepudin Carti Irawan

Zdroj: Jurnal Teknik Informatika (Jutif). 5:487-496

Comparison of K-means and FCM algorithms to optimize spatiotemporal pore pressure prediction of earth dams

Autoři: Behrang Beiranvand Taher Rajaee Mehdi Komasi

Zdroj: Results in Engineering, Vol 24, Iss , Pp 103377- (2024)

Témata: Missing data, Pore pressure, Instrumentation, Panel data, K-means algorithm, FCM algorithm, Technology

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S259012302401630X; https://doaj.org/toc/2590-1230

Přístupová URL adresa: https://doaj.org/article/ae2e1236308c4a6d99bae052acadbb08