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

Kaoru Hirota; Kazuya Iwama

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

Kaoru Hirota^*, Kazuya Iwama

^*此作品的通讯作者

自动化学院

科研成果: 期刊稿件 › 文章 › 同行评审

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.

源语言	英语
页（从-至）	95-104
页数	10
期刊	Hosei Daigaku Kogakubu kenkyu shuho
期	23
出版状态	已出版 - 3月 1987

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Hirota, K., & Iwama, K. (1987). APPLICATION OF FUZZY CLUSTERING METHOD WITH ADDITIONAL DATA TO AREA DIVISION OF IMAGES. Hosei Daigaku Kogakubu kenkyu shuho, (23), 95-104.

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title = "APPLICATION OF FUZZY CLUSTERING METHOD WITH ADDITIONAL DATA TO AREA DIVISION OF IMAGES.",

abstract = "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.",

author = "Kaoru Hirota and Kazuya Iwama",

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AU - Hirota, Kaoru

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N2 - 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.

AB - 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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JO - Hosei Daigaku Kogakubu kenkyu shuho

JF - Hosei Daigaku Kogakubu kenkyu shuho

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ER -

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

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