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Journal of Automation and Information Sciences

Erscheint 12 Ausgaben pro Jahr

ISSN Druckformat: 1064-2315

ISSN Online: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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Modification of Fuzzy c-Means Method Using a Nonlinear Vector Criterion

Volumen 42, Ausgabe 12, 2010, pp. 13-21
DOI: 10.1615/JAutomatInfScien.v42.i12.20
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ABSTRAKT

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.

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