A clustering algorithm by fuzzy rule base and convex-set prototype

碩士 === 國立臺灣科技大學 === 電機工程系 === 89 === In this thesis, we propose an effective clustering method that based on fuzzy rule base and convex-set prototype. We use various measures and fuzzy rule base to determine convex cluster expansion and merging. By heuristics and experiences, we establish the fuzzy...

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Bibliographic Details
Main Authors: Lin, Meng-Hung, 林孟宏
Other Authors: 王乃堅
Format: Others
Language:zh-TW
Published: 2001
Online Access:http://ndltd.ncl.edu.tw/handle/19765156651040464456