APPLICATION OF FUZZY CLUSTERING METHOD WITH ADDITIONAL DATA TO AREA DIVISION OF IMAGES.

被引：0
|
作者：
Hirota, Kaoru
Iwama, Kazuya
机构：
来源：
Hosei Daigaku Kogakubu kenkyu shuho | 1987年 / 23期
关键词：
COMPUTER METATHEORY - Algorithmic Languages;
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学科分类号：
摘要：
A modified version of Fuzzy c-Means, called Fuzzy c-Means with Additional Data, is presented. Usefulness of the algorithm is confirmed through a numerical simulation experiment and area division of imagery data. Results of various fuzzy clustering algorithms applied to imagery data are also investigated from a viewpoint of subjective entropy of probabilistic sets.
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页码：95 / 104
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