A WEIGHTED K-MEANS ALGORITHM AND ITS APPLICATION TO IMAGE SEGMENTATION(International Workshop on Advanced Image Technology 2006)

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概要

• 論文の詳細を見る

• A new classification algorithm named as a weighted K-means algorithm is proposed. Weight coefficients, which provide weighted distortions between data and cluster centers, are incorporated into the algorithm to realize reliable classification. A method determining the appropriate values of the weight coefficients from class labeled data is introduced. Under the situations where statistical distributions of data are changing gradually with time, the weighted K-means algorithm for semi-supervised data composed from initial labeled data and succeeding unlabeled data is investigated. This algorithm is also applied to color image segmentation and several experimental results are shown.

• 一般社団法人電子情報通信学会の論文
• 2006-01-03

著者

• Morii Fujiki

  Dept. Of Information And Computer Sciences Nara Women's University

関連論文

• A WEIGHTED K-MEANS ALGORITHM AND ITS APPLICATION TO IMAGE SEGMENTATION(International Workshop on Advanced Image Technology 2006)

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