
PFCM
 Referenced in 16 articles
[sw02421]
 navigation. We define an extension of fuzzy Cmeans algorithm, namely proximity fuzzy Cmeans...

RFCM
 Referenced in 8 articles
[sw02668]
 unsupervised learning algorithm, termed as roughfuzzy cmeans, is proposed in this paper ... principles of rough sets and fuzzy sets. While the concept of lower and upper approximations ... class definition, the membership function of fuzzy sets enables efficient handling of overlapping partitions ... class, introduced in roughfuzzy cmeans, enables efficient selection of cluster prototypes. Several quantitative...

FCM4DD
 Referenced in 4 articles
[sw40634]
 Fuzzy cmeans clustering algorithm for directional data (FCM4DD). Cluster analysis is a useful tool ... dissimilarities. In this paper, the fuzzy cmeans algorithm was adapted for directional data ... terms of consistency, accuracy and computational time. Fuzzy clustering algorithms for directional data (FCM4DD...

fc
 Referenced in 5 articles
[sw22645]
 contains wellknown algorithms like the fuzzy cmeans algorithm and the algorithm by Gustafson ... algorithms I recommend to read our fuzzy clustering book. The package consists of a number...

EPCM
 Referenced in 3 articles
[sw03458]
 enhanced possibilistic cmeans clustering algorithm EPCM The possibility based clustering algorithm PCM was first ... noise sensitivity of algorithm FCM (Fuzzy CMeans). However, PCM still suffers from the following...

ppclust
 Referenced in 1 article
[sw32044]
 functions for Fuzzy CMeans (Bezdek, 1974) , Possibilistic CMeans (Krishnapuram & Keller ... /91.227387>, Possibilistic Fuzzy CMeans (Pal et al, 2005) , Possibilistic Clustering Algorithm...

SoBTRFW
 Referenced in 1 article
[sw17568]
 method uses the robust roughfuzzy $c$means algorithm. After the segmentation process, asymmetricity...

CobWeb
 Referenced in 1 article
[sw26487]
 segmentation and crossvalidation employing Kmeans, Fuzzy Cmeans, least square support vector machine...

CECM
 Referenced in 11 articles
[sw06446]
 CECM: constrained evidential Cmeans algorithm In clustering applications, prior knowledge about cluster membership ... have been proposed in the hard or fuzzy clustering frameworks. This approach is extended ... functions. A variant of the Evidential Cmeans (ECM) algorithm taking into account pairwise constraints...

advclust
 Referenced in 1 article
[sw16675]
 that provided by this package are Fuzzy CMeans, Gustafson Kessel (Babuska Version), GathGeva...

RcmdrPlugin.FuzzyClust
 Referenced in 0 articles
[sw16677]
 methods of Fuzzy Clustering (Fuzzy C Means /FCM and Gustafson KesselBabuska). For validation...

BARON
 Referenced in 354 articles
[sw00066]
 BARON is a computational system for solving nonconvex...

Isabelle
 Referenced in 710 articles
[sw00454]
 Isabelle is a generic proof assistant. It allows...

LAPACK
 Referenced in 1701 articles
[sw00503]
 LAPACK is written in Fortran 90 and provides...

Maple
 Referenced in 5369 articles
[sw00545]
 The result of over 30 years of cutting...

Mathematica
 Referenced in 6343 articles
[sw00554]
 Almost any workflow involves computing results, and that...

Matlab
 Referenced in 13488 articles
[sw00558]
 MATLAB® is a highlevel language and interactive...

mclust
 Referenced in 308 articles
[sw00563]
 R package mclust: Normal Mixture Modeling for Model...

Octave
 Referenced in 304 articles
[sw00646]
 GNU Octave is a highlevel language, primarily...

R
 Referenced in 9832 articles
[sw00771]
 R is a language and environment for statistical...