COALA: A Novel Approach for the Extraction of an Alternate Clustering of High Quality and High Dissimilarity

Abstract

Cluster analysis has long been a fundamental task in data mining and machine learning. However, traditional clustering methods concentrate on producing a single solution, even though multiple alternative clusterings may exist. It is thus difficult for the user to validate whether the given solution is in fact appropriate, particularly for large and complex… (More)
DOI: 10.1109/ICDM.2006.37

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