Application of modified FCM with additional data to area division of images

Kaoru Hirota; Kazuya Iwama

doi:10.1016/0020-0255(88)90041-2

Application of modified FCM with additional data to area division of images

Kaoru Hirota^*, Kazuya Iwama

^*Corresponding author for this work

Hosei University

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

5 Citations (Scopus)

Abstract

A modified version of fuzzy c-means, called fuzzy c-means with additional data (FCM-AD), is presented in order to achieve robustness against a few outliers. Usefulness of the algorithm is confirmed through simulation experiments on both artificial data sets and real remote sensing 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)	213-230
Number of pages	18
Journal	Information Sciences
Volume	45
Issue number	2
DOIs	https://doi.org/10.1016/0020-0255(88)90041-2
Publication status	Published - Jul 1988
Externally published	Yes

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title = "Application of modified FCM with additional data to area division of images",

abstract = "A modified version of fuzzy c-means, called fuzzy c-means with additional data (FCM-AD), is presented in order to achieve robustness against a few outliers. Usefulness of the algorithm is confirmed through simulation experiments on both artificial data sets and real remote sensing 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 = "1988",

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AU - Hirota, Kaoru

AU - Iwama, Kazuya

PY - 1988/7

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N2 - A modified version of fuzzy c-means, called fuzzy c-means with additional data (FCM-AD), is presented in order to achieve robustness against a few outliers. Usefulness of the algorithm is confirmed through simulation experiments on both artificial data sets and real remote sensing 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 (FCM-AD), is presented in order to achieve robustness against a few outliers. Usefulness of the algorithm is confirmed through simulation experiments on both artificial data sets and real remote sensing 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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DO - 10.1016/0020-0255(88)90041-2

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VL - 45

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EP - 230

JO - Information Sciences

JF - Information Sciences

IS - 2

ER -

Application of modified FCM with additional data to area division of images

Abstract

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