Coupled Clustering: a Method for Detecting Structural Correspondence

Details Coupled Clustering: a Method for Detecting Structural Correspondence Coupled Clustering: a Method for Detecting Structural Correspondence

2001-07-23

arxiv.org/abs/cs/0107032v1

In: C. E. Brodley and A. P. Danyluk (eds.), Proceedings of the 18th International Conference on Machine Learning (ICML 2001),

Computer Science

Learning

html with 5 figures

Scientific paper

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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