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:	Tonellato, Stefano ; Pastore, Andrea
Institutions:	Dipartimento di Economia, Università Ca' Foscari Venezia
Subject:	similarity indices \| Rand index \| mixture models \| bootstrap

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Extent:	application/pdf
Series:	Working Papers.
Type of publication:	Book / Working Paper
Notes:	Number 2013:05 3 pages long
Classification:	C39 - Econometric Methods: Multiple/Simultaneous Equation Models. Other ; c46 ; C49 - Econometric and Statistical Methods: Special Topics. Other
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10011200019