A new method to Clustering of aggregate data

碩士 === 世新大學 === 資訊管理學研究所(含碩專班) === 102 === Statistical data has been used in several concepts,like medical、health、public、manufacture,and the statistical analysis report also is important to decision. Over the past few years, data mining has often used in analysis statistical data, and one of the mos...

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Main Authors:	Ya-ting Yang, 楊雅婷
Other Authors:	None
Format:	Others
Language:	zh-TW
Published:	2014
Online Access:	http://ndltd.ncl.edu.tw/handle/14099162158322116458

id	ndltd-TW-102SHU05396033
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spelling	ndltd-TW-102SHU053960332016-12-19T04:14:34Z http://ndltd.ncl.edu.tw/handle/14099162158322116458 A new method to Clustering of aggregate data 合計型資料之分群探勘研究 Ya-ting Yang 楊雅婷碩士世新大學資訊管理學研究所(含碩專班) 102 Statistical data has been used in several concepts,like medical、health、public、manufacture,and the statistical analysis report also is important to decision. Over the past few years, data mining has often used in analysis statistical data, and one of the most popular is clustrering.The traditional clustrering method used all the variables to clustrer,but the result of clustrering would be influenced by the variables, because the number of variables are not equal,it means the weight of attribute might not be correct. We propose a new method to Clustering of statistical data, two stage of SOM(Self Organizing Map).In first stage,we reduce the variables from several to single depend on the similar of data. In second stage, we use the result of first stage to cluster.The new method can improve the efficiency of clustering in statistical data. None 劉育津 2014 學位論文 ; thesis 43 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	碩士 === 世新大學 === 資訊管理學研究所(含碩專班) === 102 === Statistical data has been used in several concepts,like medical、health、public、manufacture,and the statistical analysis report also is important to decision. Over the past few years, data mining has often used in analysis statistical data, and one of the most popular is clustrering.The traditional clustrering method used all the variables to clustrer,but the result of clustrering would be influenced by the variables, because the number of variables are not equal,it means the weight of attribute might not be correct. We propose a new method to Clustering of statistical data, two stage of SOM(Self Organizing Map).In first stage,we reduce the variables from several to single depend on the similar of data. In second stage, we use the result of first stage to cluster.The new method can improve the efficiency of clustering in statistical data.
author2	None
author_facet	None Ya-ting Yang 楊雅婷
author	Ya-ting Yang 楊雅婷
spellingShingle	Ya-ting Yang 楊雅婷 A new method to Clustering of aggregate data
author_sort	Ya-ting Yang
title	A new method to Clustering of aggregate data
title_short	A new method to Clustering of aggregate data
title_full	A new method to Clustering of aggregate data
title_fullStr	A new method to Clustering of aggregate data
title_full_unstemmed	A new method to Clustering of aggregate data
title_sort	new method to clustering of aggregate data
publishDate	2014
url	http://ndltd.ncl.edu.tw/handle/14099162158322116458
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A new method to Clustering of aggregate data

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