Cost functions for pairwise data clustering

Details Cost functions for pairwise data clustering Cost functions for pairwise data clustering

2001-03-20

arxiv.org/abs/cond-mat/0103414v1

Physics

Condensed Matter

Disordered Systems and Neural Networks

5 pages, 4 figures

Scientific paper

10.1016/S0375-9601(01)00373-5

Cost functions for non-hierarchical pairwise clustering are introduced, in the probabilistic autoencoder framework, by the request of maximal average similarity between the input and the output of the autoencoder. The partition provided by these cost functions identifies clusters with dense connected regions in data space; differences and similarities with respect to a well known cost function for pairwise clustering are outlined.

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