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