Paper:
Language: English:
Algorithms of Hard c-Means Clustering Using Kernel Functions in Support Vector Machines
Sadaaki Miyamoto* and Youichi Nakayama**
*Institute of Engineering Mechanics and Systems, University of Tsukuba, Ibaraki 305-8573, Japan
**Graduate School of Systems and Information Engineering, University of Tsukuba, Ibaraki 305-8573, Japan
Received: August 28, 2002
Accepted: November 18, 2002
Keywords: clustering, hard c-means, support vector machine
Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.7, No.1 pp. 19-24, 2003
Abstract
We discuss hard c-means clustering using a mapping into a high-dimensional space considered within the theory of support vector machines. Two types of iterative algorithms are developed. Effectiveness of the proposed method is shown by numerical examples.
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