A clustering scheme for large high-dimensional document datasets

碩士 === 國立中山大學 === 電機工程學系研究所 === 95 === Peoples pay more and more attention on document clustering methods. Because of the high dimension and the large number of data, clustering methods usually need a lot of time to calculate. We propose a scheme to make the clustering algorithm much faster then ori...

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Bibliographic Details
Main Authors: Jing-wen Chen, 陳經文
Other Authors: Shie-jue Lee
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/bsr4gq