A variant of DBSCAN algorithm to find embedded and nested adjacent clusters

international conference on signal processing, pp. 486-491, 2016.

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Abstract:

In this paper we present an efficient approach for clustering analysis to detect embedded and nested adjacent clusters using concept of density based notion of clusters and neighborhood difference. Basically our proposed algorithm is improved version basic DBSCAN algorithm, proposed to address the clustering problem with the use global de...More

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