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
Indexed in
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
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.
SCHLÜSSELWÖRTER: fuzzy c-means method, clustering problem, rock clustering, predictive estimate, outburst hazard degree
358 Artikelansichten
6 Artikel-Downloads
Metriken
Artikel mit ähnlichem Inhalt:
Neueste Ausgabe
Modeling of Configurations Formed when Using Microneedle Systems
Properties of Large Deviations of Empirical Estimates in a Stochastic Optimization Problem for a Homogeneous Random Field
The Dynamics of One Arms Race Mathematical Model with a Delay
Some Ways to Modeling Input Data for Information Search in the Library of Standards when Solving Semantics Problems
Method for Constructing Primitive Polynomials for Cryptographic Subsystems of Dependable Automated Systems
Complete Asymptotics of Approximations by Certain Singular Integrals in Mathematical Modeling
Index, Volume 52, 2020