Density-based Silhouette diagnostics for clustering methods |
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Authors: | Giovanna Menardi |
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Institution: | 1.Department of Economics and Statistics,University of Trieste,Trieste,Italy |
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Abstract: | Silhouette information evaluates the quality of the partition detected by a clustering technique. Since it is based on a measure
of distance between the clustered observations, its standard formulation is not adequate when a density-based clustering technique
is used. In this work we propose a suitable modification of the Silhouette information aimed at evaluating the quality of
clusters in a density-based framework. It is based on the estimation of the data posterior probabilities of belonging to the
clusters and may be used to measure our confidence about data allocation to the clusters as well as to choose the best partition
among different ones. |
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Keywords: | |
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