Multi-View Clustering
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R
data
man
DESCRIPTION
LICENSE
NAMESPACE
README.md

README.md

Multi-View Clustering

Implementation of: S Bickel and T Scheffer: Multi-View Clustering, Proceedings of the Fourth IEEE International Conference on Data Mining, pages 19-26.

Contents

  • Multi-View Clustering using Spherical k-Means for categorical data.
  • Multi-View Clustering using mixture of categoricals EM.

Stable Version: Installation from CRAN

  • Start R
  • Run install.packages('mvc')

Note: The manual is available as PDF on CRAN.

Development Version: Installation from source

  • Download: git clone git://github.com/amaunz/mvc
  • Check out development version: cd mvc; git checkout development; cd -
  • Check: R CMD check mvc
  • Install: R CMD install mvc

Note: The check command creates the manual as PDF under mvc.Rcheck/mvc-manual.pdf.

Demo

Multi-View Clustering using Spherical k-Means:

library(mvc)
data(toyViews)
results=mvcsph(
   view1=toyView1,
   view2=toyView2,
   nthresh=20,
   k=4,
   startView="view1"
)
print(results$finalIndices)

Multi-View Clustering using mixture of categoricals EM:

library(mvc)
data(toyViews)
results=mvcmb(
  view1=toyView1,
  view2=toyView2,
  nthresh=20,
  k=4,
  startView="view1"
)
print(results$finalIndices)

In both cases, the first three and the last two instances should each form a cluster.

License

BSD