Suchergebnisse - "Weighted k-means clustering algorithm"

Risk assessment of corn borer based on feature optimization and weighted spatial clustering: a case study in Shandong Province, China

Autoren: Yanan Zuo Min Ji Jiutao Yang et al.

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-21 (2025)

Schlagwörter: Risk assessment, Corn borer, Feature optimization, Weighted k-means clustering algorithm, Improved random forest, Medicine, Science

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/d52ef4f267204871a2f8ed07505ac0da

Optimization configuration of flexible interconnection device DG based on improved E-C-Kmeans and GA under SOP support

Autoren: Zhichun Yang Lei Yang Junxiong He et al.

Quelle: Systems and Soft Computing, Vol 7, Iss , Pp 200414- (2025)

Schlagwörter: Flexible interconnection devices, Distributed power supply, Genetic algorithm, Feature selection weighted k-means clustering algorithm, Optimization configuration, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772941925002339; https://doaj.org/toc/2772-9419

Zugangs-URL: https://doaj.org/article/d89e8cc1b3ca4428b16dc72fc380d376

A Novel Machine Learning Approach for Multidimensional Dynamic Destination Recommender S earch System Employing Clustering using Optimization Techniques

Autoren: Bhoomi Mansukhlal Bangoria Sweta S Panchal Sandipkumar R Panchal et al.

Schlagwörter: Recommender System, Clustering, Destination Recommender System (DRS), Machine Learning, Weighted K­means clustering Algorithm, ABC, PSO

Relation: https://zenodo.org/records/14784291; oai:zenodo.org:14784291; https://doi.org/10.17485/IJST/v17i44.3525

Verfügbarkeit: https://doi.org/10.17485/IJST/v17i44.3525
https://zenodo.org/records/14784291
https://indjst.org/articles/a-novel-machine-learning-approach-for-multidimensional-dynamic-destination-recommender-s-earch-system-employing-clustering-using-optimization-techniques

Multidimensional Dynamic Destination Recommender Search System Employing Clustering: A Machine Learning Approach

Autoren: Bhoomi Mansukhlal Bangoria Sweta S Panchal Sandipkumar R Panchal et al.

Schlagwörter: Recommender System, Clustering, Destination Recommender System (DRS), Machine Learning, Weighted K-means clustering Algorithm

Relation: https://zenodo.org/records/14752813; oai:zenodo.org:14752813; https://doi.org/10.17485/IJST/v17i40.2266

Verfügbarkeit: https://doi.org/10.17485/IJST/v17i40.2266
https://zenodo.org/records/14752813
https://indjst.org/articles/multidimensional-dynamic-destination-recommender-search-system-employing-clustering-a-machine-learning-approach