A Robust K-means clustering algorithm based on Gaussian kernel

碩士 === 崑山科技大學 === 資訊管理研究所 === 100 === In this paper, we proposed a kernelized k-means algorithm based on the Gaussian kernel function according to the concepts of support vector clustering and kernel methods. A statistical point of view of robust properties of the proposed method is analyzed. The cl...

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Bibliographic Details
Main Authors: You-Jun Lin, 林宥均
Other Authors: 吳國龍
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/67057835350989309660