TY - GEN
T1 - The K-Exemplars clustering method
AU - Kao, Hsiou Hen
AU - Huang, Li Ching
AU - Wen, Miin Jye
AU - Wu, Kuo Lung
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84885751429&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84885751429&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMM.376.224
DO - 10.4028/www.scientific.net/AMM.376.224
M3 - Conference contribution
AN - SCOPUS:84885751429
SN - 9783037858073
T3 - Applied Mechanics and Materials
SP - 224
EP - 230
BT - Materials and Diverse Technologies in Industry and Manufacture
T2 - 2013 International Conference on Mechanical, Automotive and Materials Engineering, CMAME 2013
Y2 - 26 July 2013 through 27 July 2013
ER -