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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Extent:	1 Online-Ressource (33 p)
Series:	University Ca' Foscari of Venice, Dept. of Economics Research Paper Series ; No. 05/WP/2013
Type of publication:	Book / Working Paper
Language:	English
Notes:	Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments March 8, 2013 erstellt
Other identifiers:	10.2139/ssrn.2233325 [DOI]
Classification:	C39 - Econometric Methods: Multiple/Simultaneous Equation Models. Other ; c46 ; C49 - Econometric and Statistical Methods: Special Topics. Other
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014159894