ABACUS: Mining Arbitrary Shaped Clusters from Large Datasets based on Backbone Identification

Abstract

A wide variety of clustering algorithms exist that cater to applications based on certain special characteristics of the data. Our focus is on methods that capture arbitrary shaped clusters in data, the so called spatial clustering algorithms. With the growing size of spatial datasets from diverse sources, the need for scalable algorithms is paramount. We… (More)
DOI: 10.1137/1.9781611972818.26

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