iMass:an approximate adaptive clustering algorithm for dynamic data using probability based dissimil

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1 Research goalsrnThe primary goal of this work is to propose an approximate in-cremental solution to MBSCAN[1]known as the iMass clus-tering algorithm for processing point-wise insertions dynami-cally(Table 1,Fig.1).MBSCAN acts as a robust baseline be-cause it replaces distance based density measure of DBSCAN[2]by a mass-based[3,4]approach.
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