Graph- and multigrafh-theoretic partitioning clustering algorithms for large data sets

Name: Graph- and multigrafh-theoretic partitioning clustering algorithms for large data sets
Creator: Soffritti, G.
Keywords: 4. Education, 7. Clean energy

descriptionPublicationkeyboard_double_arrow_right Other literature type , Article 01 Jan 2013Publisher:Dep. of Statistical Sciences "Paolo Fortunati", Università di Bologna

Authors: Soffritti, G.;

doi: 10.6092/issn.1973-2201/1049

Graph- and multigrafh-theoretic partitioning clustering algorithms for large data sets

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Abstract

This work aims at introducing two clustering algorithms conceived to make the application of particular graph and multigraph theoretic clustering methods possible for large data sets. Results obtained by applying the suggested algorithms to simulated data sets are presented.

Statistica; Vol 57, No 1 (1997)

Related Organizations

Alma Mater Studiorum University of Bologna
Italy

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