Biclustering,
co-clustering, or
two-mode clustering[1] is a
data mining technique which allows simultaneous
clustering of the rows and columns of a
matrix. The term was first introduced by Mirkin
[2] (recently by Cheng and Church
[3] in
gene expression analysis), although the technique was originally introduced much earlier
[2] (i.e., by J.A. Hartigan
[4]).
Given a set of
m rows in
n columns (i.e., an

matrix), the biclustering algorithm generates biclusters - a subset of rows which exhibit similar behavior across a subset of columns, or vice versa.
http://en.wikipedia.org/wiki/Biclustering
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