A Note on W-K-Means Algorithm

碩士 === 國立新竹教育大學 === 人資處數學教育碩士班 === 97 === The purpose of this note is to propose two attribute weight initialization methods in the W-k-means algorithm proposed by Huang et al. (2005). Results from color image segmentation illustrate the proposed methods produce better segmentation than the randomly...

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Main Authors: CHEN TIEN LUNG, 陳天龍
Other Authors: Hung Wen Liang
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/19768107592650715153
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spelling ndltd-TW-097NHCT54800262016-05-04T04:26:30Z http://ndltd.ncl.edu.tw/handle/19768107592650715153 A Note on W-K-Means Algorithm W-K-Means運算法則上的附註 CHEN TIEN LUNG 陳天龍 碩士 國立新竹教育大學 人資處數學教育碩士班 97 The purpose of this note is to propose two attribute weight initialization methods in the W-k-means algorithm proposed by Huang et al. (2005). Results from color image segmentation illustrate the proposed methods produce better segmentation than the randomly generated weights according to Liu and Yang’s (1994) evaluation function. Hung Wen Liang 洪文良 學位論文 ; thesis 19 zh-TW
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language zh-TW
format Others
sources NDLTD
description 碩士 === 國立新竹教育大學 === 人資處數學教育碩士班 === 97 === The purpose of this note is to propose two attribute weight initialization methods in the W-k-means algorithm proposed by Huang et al. (2005). Results from color image segmentation illustrate the proposed methods produce better segmentation than the randomly generated weights according to Liu and Yang’s (1994) evaluation function.
author2 Hung Wen Liang
author_facet Hung Wen Liang
CHEN TIEN LUNG
陳天龍
author CHEN TIEN LUNG
陳天龍
spellingShingle CHEN TIEN LUNG
陳天龍
A Note on W-K-Means Algorithm
author_sort CHEN TIEN LUNG
title A Note on W-K-Means Algorithm
title_short A Note on W-K-Means Algorithm
title_full A Note on W-K-Means Algorithm
title_fullStr A Note on W-K-Means Algorithm
title_full_unstemmed A Note on W-K-Means Algorithm
title_sort note on w-k-means algorithm
url http://ndltd.ncl.edu.tw/handle/19768107592650715153
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AT chéntiānlóng noteonwkmeansalgorithm
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