28 citations · 173 across the 14 of their papers we have counts for
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cs.LG2022★ 11 cited
A new nonparametric interpoint distance-based measure for assessment of clustering
Soumita Modak
A new interpoint distance-based measure is proposed to identify the optimal number of clusters present in a data set. Designed in nonparametric approach, it is independent of the d…
stat.ME2022★ 24 cited
A new measure for assessment of clustering based on kernel density estimation
Soumita Modak
A new clustering accuracy measure is proposed to determine the unknown number of clusters and to assess the quality of clustering of a data set given in any dimensional space. Our…
stat.AP2022★ 12 cited
Clustering of eclipsing binary light curves through functional principal component analysis
Soumita Modak, Tanuka Chattopadhyay, Asis Kumar Chattopadhyay
In this paper, we revisit the problem of clustering 1318 new variable stars found in the Milky way. Our recent work distinguishes these stars based on their light curves which are…