A.
Tarsitano
Mahalanobis
metrics for k-means algorithms
Summary
Solutions obtained for a k-means
algorithm depends heavily on the starting partition. In this article an
aid is developed for implementing initialization methods particularly suited
when all the cluster covariances matrices are presumed to be identical.
keywords
covariance estimates, determinant minimization, multiple quickselect
Convegno intermedio SIS, Napoli, 9-11 giugno 2003.
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