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

^*Corresponding author for this work

School of Automation

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	95-104
Number of pages	10
Journal	Hosei Daigaku Kogakubu kenkyu shuho
Issue number	23
Publication status	Published - Mar 1987

Cite this

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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",

year = "1987",

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language = "English",

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journal = "Hosei Daigaku Kogakubu kenkyu shuho",

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T1 - APPLICATION OF FUZZY CLUSTERING METHOD WITH ADDITIONAL DATA TO AREA DIVISION OF IMAGES.

AU - Hirota, Kaoru

AU - Iwama, Kazuya

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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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SN - 0441-2494

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JO - Hosei Daigaku Kogakubu kenkyu shuho

JF - Hosei Daigaku Kogakubu kenkyu shuho

IS - 23

ER -

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

Abstract

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