電気学会論文誌C(電子・情報・システム部門誌)
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
ファジー推論を用いた主観的クラスタリング
宮崎 隆之萩原 将文
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ジャーナル フリー

1996 年 116 巻 4 号 p. 479-485

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In this paper a new subjective clustering method using fuzzy inference is proposed. Changing some parameters interactively, a user can reflect his/her knowledge or intuition for the clustering. The proposed method takes account of both (1) connectivity of data and (2) linearity of the data distribution. In addition, it represents shape of cluster by a membership function and uses fuzzy reasoning to reflect subjectivity of a user effectively. The proposed method is also effective not only for clustering but also for various purposes such as data analysis, assumption test, modeling, concept formation support systems, etc. The validity of the proposed method is confirmed by computer simulation.

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