Modification of fuzzy c-means method using a nonlinear vector criterion

A. F. Bulat; E. M. Kiseleva; S. A. Pichugov; O. B. Blyuss

doi:10.1615/JAutomatInfScien.v42.i12.20

Modification of fuzzy c-means method using a nonlinear vector criterion

A. F. Bulat, E. M. Kiseleva, S. A. Pichugov, O. B. Blyuss

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

Abstract

The proposed new vector criterion improves the results obtained based on the fuzzy c-means method. The possibility to apply the proposed vector criterion to fuzzy clustering problems is substantiated. The appropriate algorithm is constructed to allow one to perform clustering of rocks based on a predictive estimate of outburst hazard degree.

Original language	English
Pages (from-to)	13-21
Number of pages	9
Journal	Journal of Automation and Information Sciences
Volume	42
Issue number	12
DOIs	https://doi.org/10.1615/JAutomatInfScien.v42.i12.20
Publication status	Published - 30 Dec 2010
Externally published	Yes

Keywords

Clustering problem
Fuzzy c-means method
Outburst hazard degree.
Predictive estimate
Rock clustering

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10.1615/JAutomatInfScien.v42.i12.20

Cite this

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keywords = "Clustering problem, Fuzzy c-means method, Outburst hazard degree., Predictive estimate, Rock clustering",

author = "Bulat, {A. F.} and Kiseleva, {E. M.} and Pichugov, {S. A.} and Blyuss, {O. B.}",

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AU - Kiseleva, E. M.

AU - Pichugov, S. A.

AU - Blyuss, O. B.

PY - 2010/12/30

Y1 - 2010/12/30

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KW - Clustering problem

KW - Fuzzy c-means method

KW - Outburst hazard degree.

KW - Predictive estimate

KW - Rock clustering

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Modification of fuzzy c-means method using a nonlinear vector criterion

Abstract

Keywords

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