Functions for performing leastsquares bilinear clustering of threeway data. The method uses the bilinear decomposition (or biadditive model) to model twoway matrix slices while clustering over the third way. Up to four different types of clusters are included, one for each term of the bilinear decomposition. In this way, matrices are clustered simultaneously on (a subset of) their overall means, row margins, column margins and rowcolumn interactions. The orthogonality of the bilinear model results in separability of the joint clustering problem into four separate ones. Three of these subproblems are specific kmeans problems, while a special algorithm is implemented for the interactions. Plotting methods are provided, including biplots for the lowrank approximations of the interactions.
Package details 


Author  Pieter Schoonees [aut, cre], Patrick Groenen [ctb] 
Date of publication  20180419 20:26:09 UTC 
Maintainer  Pieter Schoonees <[email protected]> 
License  GPL (>= 2) 
Version  1.0.5 
Package repository  View on CRAN 
Installation 
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