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Title of Journal: Pattern Anal Applic

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Abbravation: Pattern Analysis and Applications

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Springer London

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DOI

10.1002/chin.199622245

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1433-755X

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A modified kernel clustering method with multiple

Authors: Changming Zhu Daqi Gao
Publish Date: 2014/06/05
Volume: 18, Issue: 4, Pages: 871-886
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Abstract

We propose a simple and effective method about kernel clustering This method takes many factors about kernel clustering into account These factors include the selection of the initial centers of kernels the ways of how to compute widths of kernels and the distances between patterns different growing ways of kernels and different kernel clustering criterions Experiments have validated that these factors have influence on the final experimental results while not each factor has a great influence Furthermore some classifiers with this proposed kernel clustering method have higher classification accuracies and lower generalization risksWe would like to acknowledge support for this project from the National Science Foundation NSF grant IIS9988642 the Multidisciplinary Research Program of the Department of Defense MURI N000140010637 Natural Science Foundations of China under Grant Nos 61272198 and 21176077 Innovation Program of Shanghai Municipal Education Commission under Grant No 14ZZ054 the Fundamental Research Funds for the Central Universities and Shanghai Key Laboratory of Intelligent Information Processing of China under Grant No IIPL2012003

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