Please use this identifier to cite or link to this item: http://arl.liuc.it/dspace/handle/2468/5184
Title: Comparing clusterings by copula information based distance
Authors: Nai Ruscone, Marta
Issue Date: 2017
Publisher: Universitas studiorum
Bibliographic citation: Nai Ruscone Marta (2017), Comparing clusterings by copula information based distance. In: Greselin Francesca, Mola Francesco, Zenga Mariangela, ed., ClaDAG 2017: book of short papers. Mantova: Universitas studiorum. ISBN 978-88-99459-71-0.
Abstract: Objects can be clustered in many different ways. As a matter of fact there are several cluster analysis methods that can produce different clusterings on the same dataset. Moreover, even when a single algorithm is used, different alternative clusterings can easily be generated, simply by changing the initial conditions of the algorithm. This work proposes a flexible criterion based on copula function for comparing two partitions (or clusterings) of the same dataset. This criterion also allows measuring the amount of information lost and gained in changing from cluster C to clustering C'.
URI: http://arl.liuc.it/dspace/handle/2468/5184
Journal/Book: ClaDAG 2017: book of short papers
ISBN: 978-88-99459-71-0
Appears in Collections:Contributo in atti di convegno

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