We propose an approach to the cluster ensemble problem based on pivotal units extracted from a co-association matrix. It can be seen as a modified version of K-means method, which utilizes pivots for careful seeding. Different criteria for identifying the pivots are discussed, as well as preliminary results concerning the comparison with alternative ensemble methods.
Consensus clustering via pivotal methods
Leonardo Egidi;Roberta Pappada';Francesco Pauli;Nicola Torelli
2019-01-01
Abstract
We propose an approach to the cluster ensemble problem based on pivotal units extracted from a co-association matrix. It can be seen as a modified version of K-means method, which utilizes pivots for careful seeding. Different criteria for identifying the pivots are discussed, as well as preliminary results concerning the comparison with alternative ensemble methods.File in questo prodotto:
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Pappada_Consensus clustering via pivotal methods.pdf
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