Cluster Analysis Based on Posets
msra(2007)
摘要
When dissimilarities are measured in a space other than the reals, it is argued that previous models for cluster analysis
are not adequate. Possible new models will be explored. It is also shown that formal concept analysis may be viewed as a special
case of a Boolean dissimilarity coefficient. A persistent underlying theme involves generalized notions of adjoints of order
preserving mappings between posets.
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