A Self-Constructing Fuzzy Feature Clustering for Text Categorization

碩士 === 國立中山大學 === 電機工程學系研究所 === 97 === Feature clustering is a powerful method to reduce the dimensionality of feature vectors for text classification. In this paper, we propose a fuzzy similarity-based self-constructing algorithm for feature clustering. The words in the feature vector of a document...

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Bibliographic Details
Main Authors: Ren-jia Liu, 劉仁嘉
Other Authors: Shie-Jue Lee
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/5y4bha