The K-Exemplars clustering method

Hsiou Hen Kao, Li Ching Huang, Miin Jye Wen, Kuo Lung Wu

研究成果: Conference contribution

摘要

In order to apply the concepts of k-means to deal with any specified dissimilarity measures, we propose a k-exemplars clustering method that modifies k-means by restricting the cluster centers on data points. The proposed method not only has similar clustering accuracy as k-means but also faster convergence. According to the definition of the objective function of k-exemplars, the proposed method can be used to deal with a relational data set, and the cluster centers (exemplars) of each cluster will also be extracted. Hence, the k-exemplars can work in an environment with specified dissimilarity measures.

原文English
主出版物標題Materials and Diverse Technologies in Industry and Manufacture
頁面224-230
頁數7
DOIs
出版狀態Published - 2013
事件2013 International Conference on Mechanical, Automotive and Materials Engineering, CMAME 2013 - , Hong Kong
持續時間: 2013 七月 262013 七月 27

出版系列

名字Applied Mechanics and Materials
376
ISSN(列印)1660-9336
ISSN(電子)1662-7482

Other

Other2013 International Conference on Mechanical, Automotive and Materials Engineering, CMAME 2013
國家/地區Hong Kong
期間13-07-2613-07-27

All Science Journal Classification (ASJC) codes

  • 工程 (全部)

引用此