Similaarity C-Means Clustering Algorithm

碩士 === 中原大學 === 數學系 === 88 === We develop a simple and effective approach to clustering which is called the similarity c-means clustering algorithm. This algorithm is an objective function based clustering method by maximizing the total similarity. The memberships resulting from the will-known fuzzy...

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Main Authors:	Kuo Lung Wu, 吳國龍
Other Authors:	Miin-Shen Yang
Format:	Others
Language:	en_US
Published:	2000
Online Access:	http://ndltd.ncl.edu.tw/handle/69664519146095922902

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spelling	ndltd-TW-088CYCU04790182015-10-13T11:53:30Z http://ndltd.ncl.edu.tw/handle/69664519146095922902 Similaarity C-Means Clustering Algorithm 相似分類演算法 Kuo Lung Wu 吳國龍碩士中原大學數學系 88 We develop a simple and effective approach to clustering which is called the similarity c-means clustering algorithm. This algorithm is an objective function based clustering method by maximizing the total similarity. The memberships resulting from the will-known fuzzy c-means clustering and its derivatives, however, do not always correspond to the explanation of degree of belonging of the data and has trouble under noisy environment . In this paper, we will show that the similarity c-means algorithm have high ability of detecting noise and also have more reasonable and more possibilistic memberships. Miin-Shen Yang 楊敏生 2000 學位論文 ; thesis 0 en_US
collection	NDLTD
language	en_US
format	Others
sources	NDLTD
description	碩士 === 中原大學 === 數學系 === 88 === We develop a simple and effective approach to clustering which is called the similarity c-means clustering algorithm. This algorithm is an objective function based clustering method by maximizing the total similarity. The memberships resulting from the will-known fuzzy c-means clustering and its derivatives, however, do not always correspond to the explanation of degree of belonging of the data and has trouble under noisy environment . In this paper, we will show that the similarity c-means algorithm have high ability of detecting noise and also have more reasonable and more possibilistic memberships.
author2	Miin-Shen Yang
author_facet	Miin-Shen Yang Kuo Lung Wu 吳國龍
author	Kuo Lung Wu 吳國龍
spellingShingle	Kuo Lung Wu 吳國龍 Similaarity C-Means Clustering Algorithm
author_sort	Kuo Lung Wu
title	Similaarity C-Means Clustering Algorithm
title_short	Similaarity C-Means Clustering Algorithm
title_full	Similaarity C-Means Clustering Algorithm
title_fullStr	Similaarity C-Means Clustering Algorithm
title_full_unstemmed	Similaarity C-Means Clustering Algorithm
title_sort	similaarity c-means clustering algorithm
publishDate	2000
url	http://ndltd.ncl.edu.tw/handle/69664519146095922902
work_keys_str_mv	AT kuolungwu similaaritycmeansclusteringalgorithm AT wúguólóng similaaritycmeansclusteringalgorithm AT kuolungwu xiāngshìfēnlèiyǎnsuànfǎ AT wúguólóng xiāngshìfēnlèiyǎnsuànfǎ
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Similaarity C-Means Clustering Algorithm

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