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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/38117

Title: PCT – a technique to probe cluster terrain
Authors: Jung-Hua Wang
Hao Huang
Jin-Liang Chen
Contributors: 國立臺灣海洋大學:電機工程學系
Keywords: Prototypes
Mahalanobis distance
Fuzzy c-means
Mountain method
Date: 2002
Issue Date: 2016-08-04T02:30:06Z
Publisher: Pattern Recognition Letters
Abstract: Abstract: We present a novel technique called probing cluster terrain (PCT) useful for exploring the terrain (shape and size) of individual clusters contained in input Full-size image (<1 K), even if X was not previously partitioned. A covariance matrix Full-size image (<1 K) is employed as an explorer to probe the terrain of the cluster centered at vj. Associated with Full-size image (<1 K) is a ring formed with the formula for Mahalanobis distance. The kernel of PCT is an alternating process that minimizes a well-defined objective function J. The most intriguing behavior of PCT is that the ring actually expands to discover data points of the cluster in the course of minimizing J. Stability of PCT is analyzed, and promising applications of PCT are described. We show that PCT can be incorporated with other clustering algorithms to improve clustering accuracy, or it can be used to perform cluster validation.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/38117
Appears in Collections:[電機工程學系] 期刊論文

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