Suchergebnisse - "K-means clustering"

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

Autoren: Tang, Weiyu Gao, Kaizhou Ma, Zhenfang et al.

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

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

AI-enhanced robust method for integrated healthcare resource pre-positioning and patient scheduling.

Autoren: Liu, Yang Zhang, Jianghua Chan, Felix T. S.

Quelle: International Journal of Production Research. Jan2025, Vol. 63 Issue 2, p729-757. 29p.

Schlagwörter: *MARKOV processes, *ARTIFICIAL intelligence, ROBUST optimization, K-means clustering, STOCHASTIC programming

Optimisation of COVID-19 vaccination process using GIS, machine learning, and the multi-layered transportation model.

Autoren: Mengüç, Kenan Aydin, Nezir Ulu, Mesut

Quelle: International Journal of Production Research. Jan2025, Vol. 63 Issue 2, p404-417. 14p.

Schlagwörter: *COVID-19 pandemic, *COVID-19 vaccines, K-means clustering, GEOGRAPHIC information systems, CITIES & towns

Machine-learnt potential highlights melting and freezing of aluminum nanoparticles.

Autoren: Alimonti, Davide Baletto, Francesca

Quelle: Journal of Chemical Physics. 4/14/2025, Vol. 162 Issue 14, p1-9. 9p.

Schlagwörter: *PHASE transitions, *K-means clustering, *MOLECULAR dynamics, *HYSTERESIS loop, *THERMODYNAMIC cycles

SKIFF: Spherical K -means with iterative feature filtering for text document clustering.

Autoren: Sharma, Iti Sharma, Abhay Chaturvedi, Rekha et al.

Quelle: Journal of Information Science. Oct2025, Vol. 51 Issue 5, p1204-1216. 13p.

Schlagwörter: *INFORMATION retrieval, DOCUMENT clustering, K-means clustering, DIMENSIONAL reduction algorithms, TEXT mining, COMPUTER performance, FEATURE selection

A Digital Classification Method of Rural Public Affairs Governance Based on K-means Clustering Algorithm.

Autoren: Liu, Meidan¹ (AUTHOR) liumeidan332@126.com

Quelle: International Journal of High Speed Electronics & Systems. Dec2025, Vol. 34 Issue 4, p1-21. 21p.

Schlagwörter: NAIVE Bayes classification, K-means clustering, ELECTRONIC paper, CLASSIFICATION algorithms, DATA quality

K-means and RS based DEA model and its application in Chinese low-carbon efficiency.

Autoren: Shen, Chaofeng Zhang, Jun

Quelle: Communications in Statistics: Theory & Methods. 2025, Vol. 54 Issue 21, p6916-6938. 23p.

Schlagwörter: *RESOURCE allocation, *SUSTAINABLE development, K-means clustering, ROUGH sets, DATA envelopment analysis, DATA reduction, PROVINCES, GEOGRAPHIC spatial analysis

Geografische Kategorien: ANHUI Sheng (China), CHINA

An Ensemble Clustering Framework Based on Majority Voting: Comparative Analysis with Enhanced Clustering Algorithms.

Autoren: Gharu, Anand N. Gumaste, Shyamrao V.

Quelle: EPJ Web of Conferences. 11/20/2025, Vol. 341, p1-15. 15p.

Schlagwörter: *K-means clustering, *EXPECTATION-maximization algorithms, *CLUSTER analysis (Statistics), *FUZZY clustering technique, *MAJORITIES, *ROBUST statistics, *CLUSTERING algorithms

Efficiency of a new use of discrete Chebysheve wavelets transform (DCHWT) in the clustering process.

Autoren: Abdulrahman, Asma Abdulelah Tahir, Fouad Shaker

Quelle: AIP Conference Proceedings. 2025, Vol. 3350 Issue 1, p1-9. 9p.

Schlagwörter: *IMAGE processing, *K-means clustering, *COMPUTER-assisted image analysis (Medicine), *WAVELETS (Mathematics), *EARLY detection of cancer, *DISCRETE wavelet transforms, *OPTIMIZATION algorithms, *SIGNAL separation

The efficiency of new discrete first Chebyshev wavelet transformation (NDFCWT) for clustering process.

Autoren: Abbulrahman, Asma A. Tahir, Fouad S.

Quelle: AIP Conference Proceedings. 2025, Vol. 3350 Issue 1, p1-8. 8p.

Schlagwörter: *K-means clustering, *KIDNEY diseases, *WAVELETS (Mathematics), *CLUSTERING algorithms, *IMAGE processing, *IMAGE quality in imaging systems, *DATA compression

Reviews & Products: MATLAB (Computer software)

The optimization of students' readiness in national minimum competency assessment using elbow method and kmeans clustering.

Autoren: Alwi, Galuh Putri Roby Setiawani, Susi Adawiyah, Robiatul et al.

Quelle: AIP Conference Proceedings. 2025, Vol. 3372 Issue 1, p1-11. 11p.

Schlagwörter: *K-means clustering, *MACHINE learning, *READINESS for school, *DATA analysis, *EDUCATIONAL outcomes, *CLUSTERING algorithms, *COMPETENCY tests (Education), *MATHEMATICAL ability testing

Geografische Kategorien: INDONESIA

Clustering urban villages in Samarinda based on the characteristics of stunting babies using k-means.

Autoren: Rizki, Nanda Arista Maulidah, Maulidah Asyril, Asyril et al.

Quelle: AIP Conference Proceedings. 2025, Vol. 3372 Issue 1, p1-8. 8p.

Schlagwörter: *K-means clustering, *MALNUTRITION in children, *VILLAGES, *CITIES & towns, *HEALTH services accessibility, *STATISTICS, *COMMUNITY development, *CLUSTERING algorithms

Customer lifetime value (CLV) analysis on customer segmentation using RFM model with k-means clustering.

Autoren: Sa'diah, Dhea Halimatu Fahrudin, Nur Fitrianti

Quelle: AIP Conference Proceedings. 2025, Vol. 3351 Issue 1, p1-9. 9p.

Schlagwörter: *CUSTOMER lifetime value, *K-means clustering, *CONSUMER behavior, *MARKET segmentation, *DATA visualization, *CUSTOMER equity, *CONSUMPTION (Economics)

Monitoring bank risk around the world using unsupervised learning.

Autoren: Mercadier, Mathieu Tarazi, Amine Armand, Paul et al.

Quelle: European Journal of Operational Research. Jul2025, Vol. 324 Issue 2, p590-615. 26p.

Schlagwörter: *SYSTEMIC risk (Finance), *BANKING industry, *CLUSTER analysis (Statistics), *RISK assessment, K-means clustering

K-means and gaussian mixture modeling with a separation constraint.

Autoren: Jiang, He Arias-Castro, Ery

Quelle: Communications in Statistics: Simulation & Computation. 2025, Vol. 54 Issue 9, p3443-3457. 15p.

Schlagwörter: *DYNAMIC programming, K-means clustering, GAUSSIAN mixture models, EXPECTATION-maximization algorithms, SPATIAL arrangement, CLUSTERING algorithms, MATHEMATICAL regularization

A variable clustering approach for overdispersed high-dimensional count data using a copula-based mixture model.

Autoren: Brini, Alberto Manju, Abu van den Heuvel, Edwin R.

Quelle: Communications in Statistics: Simulation & Computation. 2025, Vol. 54 Issue 7, p2564-2584. 21p.

Schlagwörter: K-means clustering, CLUSTERING algorithms, RANDOM effects model, LATENT variables, MOMENTS method (Statistics)

Functional Projection K-means.

Autoren: Rocci, Roberto Gattone, Stefano A.

Quelle: Journal of Computational & Graphical Statistics. Jul-Sep2025, Vol. 34 Issue 3, p1051-1062. 12p.

Schlagwörter: *ALGORITHMS, K-means clustering, DIMENSIONAL reduction algorithms, CLUSTERING algorithms, SUBSPACE identification (Mathematics), MATHEMATICAL regularization

Health inequality and health types.

Autoren: Borella, Margherita Bullano, Francisco De Nardi, Mariacristina et al.

Quelle: Econometrics Journal. Sep2025, Vol. 28 Issue 3, p341-384. 44p.

Schlagwörter: K-means clustering, HEALTH of older people, SOCIOECONOMIC disparities in health, HEALTH status indicators, PSYCHOLOGICAL resilience, POLICY analysis, MORTALITY, PSYCHOLOGICAL well-being

Distinguishing Persistent Versus Episodic Clusters of At-Risk Respondents on the Problem Gambling Severity Index.

Autoren: Murch, W. Spencer Scheurich, Rebecca Monson, Eva et al.

Quelle: Journal of Gambling Studies. Sep2025, Vol. 41 Issue 3, p1071-1085. 15p.

Schlagwörter: *CLUSTER analysis (Statistics), *INTERNET gambling, K-means clustering, AT-risk people, DEMOGRAPHIC characteristics, COMPULSIVE gambling, COHORT analysis

A CLUSTER APPROACH TO EVALUATING INVESTMENT SUPPORT ACROSS ECONOMIC SECTORS IN KAZAKHSTAN.

Alternate Title: ҚАЗАҚСТАН ЭКОНОМИКАСЫНЫҢ САЛАЛАРЫН ИНВЕСТИЦИЯЛЫҚ ҚАМТАМАСЫЗ ЕТІЛУІН БАҒАЛАУДЫҢ КЛАСТЕРЛІК ТӘСІЛІ.
КЛАСТЕРНЫЙ ПОДХОД К ОЦЕНКЕ ИНВЕСТИЦИОННОГО ОБЕСПЕЧЕНИЯ СЕКТОРОВ ЭКОНОМИКИ КАЗАХСТАНА.

Autoren: Kalkabayeva, G. M. Kurmanalina, A. K. Tyan, O. A.

Quelle: Central Asian Economic Review. 2025, Vol. 4 Issue 163, p223-234. 12p.

Schlagwörter: *CLUSTER analysis (Statistics), *INVESTMENT policy, *RESOURCE allocation, *ECONOMIC sectors, *PRIVATE sector, K-means clustering, PRINCIPAL components analysis

Geografische Kategorien: KAZAKHSTAN