• P-FCM

  • Referenced in 16 articles [sw02421]
  • navigation. We define an extension of fuzzy C-means algorithm, namely proximity fuzzy C-means...
  • RFCM

  • Referenced in 8 articles [sw02668]
  • unsupervised learning algorithm, termed as rough-fuzzy c-means, 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 rough-fuzzy c-means, enables efficient selection of cluster prototypes. Several quantitative...
  • FCM4DD

  • Referenced in 4 articles [sw40634]
  • Fuzzy c-means clustering algorithm for directional data (FCM4DD). Cluster analysis is a useful tool ... dissimilarities. In this paper, the fuzzy c-means 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 well-known algorithms like the fuzzy c-means 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 c-means clustering algorithm EPCM The possibility based clustering algorithm PCM was first ... noise sensitivity of algorithm FCM (Fuzzy C-Means). However, PCM still suffers from the following...
  • ppclust

  • Referenced in 1 article [sw32044]
  • functions for Fuzzy C-Means (Bezdek, 1974) , Possibilistic C-Means (Krishnapuram & Keller ... /91.227387>, Possibilistic Fuzzy C-Means (Pal et al, 2005) , Possibilistic Clustering Algorithm...
  • SoBT-RFW

  • Referenced in 1 article [sw17568]
  • method uses the robust rough-fuzzy $c$-means algorithm. After the segmentation process, asymmetricity...
  • CobWeb

  • Referenced in 1 article [sw26487]
  • segmentation and cross-validation employing K-means, Fuzzy C-means, least square support vector machine...
  • CECM

  • Referenced in 11 articles [sw06446]
  • CECM: constrained evidential C-means 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 C-means (ECM) algorithm taking into account pairwise constraints...
  • advclust

  • Referenced in 1 article [sw16675]
  • that provided by this package are Fuzzy C-Means, Gustafson Kessel (Babuska Version), Gath-Geva...
  • 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 high-level 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 high-level language, primarily...
  • R

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