On the Comparison of Model-Based Clustering Solutions

In this paper we propose a new similarity index, which can be used to compare model-based clustering solutions. We define also an adjusted-for-chance version, although we advise that, whenever feasible, bootstrap replications should be preferred to chance-corrected similarity indices. We describe the properties of the proposed index and of its chance-corrected version. Finally, we present some applications on simulated and real data

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Year of publication:	2013
Authors:	Pastore, Andrea ; Tonellato, Stefano
Publisher:	[S.l.] : SSRN
Subject:	Regionales Cluster \| Regional cluster \| Clusteranalyse \| Cluster analysis \| Vergleich \| Comparison

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