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Coupled Clustering: a Method for Detecting Structural Correspondence

Zvika Marx·Ido Dagan·Joachim Buhmann
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Abstract

This paper proposes a new paradigm and computational framework for identification of correspondences between sub-structures of distinct composite systems. For this, we define and investigate a variant of traditional data clustering, termed coupled clustering, which simultaneously identifies corresponding clusters within two data sets. The presented method is demonstrated and evaluated for detecting topical correspondences in textual corpora.

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Zvika Marx, Ido Dagan, Joachim Buhmann. 2001-07-23. Coupled Clustering: a Method for Detecting Structural Correspondence. https://arxiv.org/abs/cs/0107032

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