Clustering of interval data based on city-block distances

Authors:
Renata M. C. R. de Souza;Francisco de A. T. de Carvalho
Affiliations:
Centro de Informatica--CIn/UFPE, Av. Prof Luiz Freire, s/n, Cidade Universitaria, CEP 50.740-540 Recife-PE, Brazil;Centro de Informatica--CIn/UFPE, Av. Prof Luiz Freire, s/n, Cidade Universitaria, CEP 50.740-540 Recife-PE, Brazil
Venue:
Pattern Recognition Letters
Year:
2004

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Abstract

The recording of interval data has become a common practice with the recent advances in database technologies. This paper introduces clustering methods for interval data based on the dynamic cluster algorithm. Two methods are considered: one with adaptive distances and the other without.