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Article
May 2007
Selecting diversifying heuristics for cluster ensembles
- Stefan T. Hadjitodorov,
- Ludmila I. Kuncheva
MCS'07: Proceedings of the 7th international conference on Multiple classifier systemsPages 200–209

Cluster ensembles are deemed to be better than single clustering algorithms for discovering complex or noisy structures in data. Various heuristics for constructing such ensembles have been examined in the literature, e.g., random feature selection, ...
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