DBStrata: a system for density-based clustering and outlier detection based on stratification

Authors:
Marco Aliotta;Andrea Cannata;Carmelo Cassisi;Rosalba Giugno;Placido Montalto;Alfredo Pulvirenti
Affiliations:
Istituto Nazionale di Geofisica e Vulcanologia;Istituto Nazionale di Geofisica e Vulcanologia;Universitá di Catania;Universitá di Catania;Istituto Nazionale di Geofisica e Vulcanologia;Universitá di Catania
Venue:
Proceedings of the Fourth International Conference on SImilarity Search and APplications
Year:
2011

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Abstract

Clustering is a widely used unsupervised data mining technique. In density-based clustering, a cluster is defined as a connected dense component and grows in the direction set by the density. In this paper we present a software system called DBStrata that implements the density-based clustering architecture together with several extensions able to boost the clustering performances and to efficiently identify outliers.