Cross-association is a joint decomposition of a binary ma- trix into disjoint row and column groups such that the rect- angular intersections of groups are ...
Cross-association is a joint decomposition of a binary matrix into disjoint row and column groups such that the rectangular intersections of groups are ...
This work furnishes a clear, information-theoretic criterion to choose a good cross-association as well as its parameters, namely, the number of row and ...
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Book details · Language. English · Publisher. PN · Publication date. January 1, 2004 · See all details.
Simultaneously discover row and column groups; Fully Automatic: No “magic numbers”; Scalable to large matrices. 34. Cross-Associations ≠ Co-clustering !
Simultaneously discover row and column groups; Fully Automatic: No “magic numbers”; Scalable to large graphs. Cross-Associations ≠ Co-clustering ! Lossless ...
The clustering scheme of fully crossed association proposed in [7] adopts a data compression technique and does not require any input parameters. Because it ...
Python implementation of 2004 paper. Contribute to clifflyon/fully-automatic-cross-associations development by creating an account on GitHub.
Aug 22, 2004 · Cross-association is a joint decomposition of a binary matrix into disjoint row and column groups such that the rectangular intersections of ...
Fully Automatic Cross-Associations. by Deepayan Chakrabarti · Paperback. Fully Automatic Cross-Associations. Paperback.