EMCluster (0.2-10)

0 users

EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution.


EM algorithms and several efficient initialization methods for model-based clustering of finite mixture Gaussian distribution with unstructured dispersion in both of unsupervised and semi-supervised learning.

Maintainer: Wei-Chen Chen
Author(s): Wei-Chen Chen [aut, cre], Ranjan Maitra [aut], Volodymyr Melnykov [ctb], Dan Nettleton [ctb], David Faden [ctb], Rouben Rostamian [ctb], R Core team [ctb] (some functions are modified from the R source code)

License: Mozilla Public License 2.0

Uses: MASS, Matrix
Enhances: RColorBrewer, PPtree
Reverse suggests: cubfits, fdapace
Reverse enhances: pbdDEMO

Released about 1 month ago.

10 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of EMCluster yet. Want to be the first? Write one now.

Related packages: FunCluster, GLDEX, GSM, amap, bayesm, bayesmix, cba, cclust, clValid, clue, clusterGeneration, clusterRepro, clusterSim, cluster, clusterfly, clustvarsel, clv, depmix, e1071, flexclust(20 best matches, based on common tags.)

Search for EMCluster on google, google scholar, r-help, r-devel.

Visit EMCluster on R Graphical Manual.