Presentation	2006/1/3 A WEIGHTED K-MEANS ALGORITHM AND ITS APPLICATION TO IMAGE SEGMENTATION(International Workshop on Advanced Image Technology 2006) Fujiki Morii,
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Abstract(in English)	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.
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Paper #	IE2005-225
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Conference Information
Committee	IE
Conference Date	2006/1/3(1days)
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Registration To	Image Engineering (IE)
Language	ENG
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Title (in English)	A WEIGHTED K-MEANS ALGORITHM AND ITS APPLICATION TO IMAGE SEGMENTATION(International Workshop on Advanced Image Technology 2006)
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1st Author's Name	Fujiki Morii
1st Author's Affiliation	Dept. of Information and Computer Sciences Nara Women's University()
Date	2006/1/3
Paper #	IE2005-225
Volume (vol)	vol.105
Number (no)	501
Page	pp.pp.-
#Pages	5
Date of Issue