An intelligent weighted kernel K-means algorithm for high dimension data

Clustering is a kind of unsupervised classification of objects into groups so that objects from the same cluster are more similar to each other than objects from different clusters. In this paper, we focus on Weighted Kernel K-Means method for its capability to handle nonlinear separability, noise,...

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Bibliographic Details
Main Authors: Maarof, Mohd. Aizaini, Kenari, Abdolreza Rasouli, Md. Sap, M. N., Shamsi, Mahboubeh
Format: Book Section
Published: Institute of Electrical and Electronics Engineers 2009
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Online Access:http://eprints.utm.my/id/eprint/12985/
http://dx.doi.org/10.1109/ICADIWT.2009.5273893
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Institution: Universiti Teknologi Malaysia

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