Biased box sampling - a density-biased sampling for clustering

Authors:
Ana Paula Appel;Adriano Arantes Paterlini;Elaine P. M. de Sousa;Agma J. M. Traina;Caetano Traina, Jr.
Affiliations:
University of São Paulo at São Carlos -- Brazil;University of São Paulo at São Carlos -- Brazil;University of São Paulo at São Carlos -- Brazil;University of São Paulo at São Carlos -- Brazil;University of São Paulo at São Carlos -- Brazil
Venue:
Proceedings of the 2007 ACM symposium on Applied computing
Year:
2007

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Cited 1

A Density-Biased Sampling Technique to Improve Cluster Representativeness

PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases

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Abstract

This paper presents the BBS - Biased Box Sampling algorithm, a technique that combines dimensionality reduction with biased sampling, which aims at keeping the skewed clustering from the original data.