activity
20162026
most citedUnsupervised classification of eclipsing binary light curves through k-medoids clustering

28 citations · 173 across the 14 of their papers we have counts for

collaborators

14 papers

astro-ph.HE2026

A new completely parameter-free clustering algorithm for unsupervised classification of BATSE gamma-ray bursts

Soumita Modak

Cluster analysis is a widely applied machine learning technique to understand the existing patterns in the population of gamma-ray bursts (GRBs), in order to explore their physical…

stat.ME2026★ 7 cited

Evaluation of the number of clusters in a data set using -values from Multiple Tests of Hypotheses

Soumita Modak

This paper proposes a novel, nonparametric, interpoint distance-based measure to investigate whether there exist any groups in a set of given data, and if so then, how many groups…

astro-ph.HE2026★ 3 cited

Confirmation of Binary Clustering in Gamma-Ray Bursts through an Integrated -value from Multiple Nonparametric Tests of Hypotheses

Soumita Modak

The paper applies a new, nonparametric, interpoint distance-based measure to confirm the inherent groups prevailing in the brightest source of light in the universe: gamma-ray burs…

stat.AP2024

Quality check of a sample partition using multinomial distribution

Soumita Modak

In this paper, we advocate a novel measure for the purpose of checking the quality of a cluster partition for a sample into several distinct classes, and thus, determine the unknow…

stat.ME2023★ 10 cited

A new interpoint distance-based clustering algorithm using kernel density estimation

Soumita Modak

A novel nonparametric clustering algorithm is proposed using the interpoint distances between the members of the data to reveal the inherent clustering structure existing in the gi…

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…

stat.AP2021★ 22 cited

Distinction of groups of gamma-ray bursts in the BATSE catalog through fuzzy clustering

Soumita Modak

In search for the possible astrophysical sources behind origination of the diverse gamma-ray bursts, cluster analyses are performed to find homogeneous groups, which discover an in…

stat.AP2018★ 14 cited

A new nonparametric test for two sample multivariate location problem with application to astronomy

Soumita Modak, Uttam Bandyopadhyay

This paper provides a nonparametric test for the identity of two multivariate continuous distribution functions (d.f.'s) when they differ in locations. The test uses Wilcoxon rank-…

astro-ph.SR2018★ 28 cited

Unsupervised classification of eclipsing binary light curves through k-medoids clustering

Soumita Modak, Tanuka Chattopadhyay, Asis Kumar Chattopadhyay

This paper proposes k-medoids clustering method to reveal the distinct groups of 1,318 variable stars in the Galaxy based on their light curves, where each light curve represents t…

stat.AP2018★ 3 cited

Bivariate density estimation using normal-gamma kernel with application to astronomy

Uttam Bandyopadhyay, Soumita Modak

We consider the problem of estimation of a bivariate density function with support , where a classical bivariate kernel estimator causes boundary bias due to t…

stat.AP2017★ 20 cited

Clustering of Gamma-Ray bursts through kernel principal component analysis

Soumita Modak, Asis Kumar Chattopadhyay, Tanuka Chattopadhyay

We consider the problem related to clustering of gamma-ray bursts (from "BATSE" catalogue) through kernel principal component analysis in which our proposed kernel outperforms resu…

astro-ph.GA2016★ 19 cited

Two phase formation of massive elliptical galaxies : study through cross-correlation including spatial effect

Soumita Modak, Tanuka Chattopadhyay, Asis Kumar Chattopadhyay

Formation mechanism of present day population of elliptical galaxies have been revisited in the context of hierarchical cosmological models accompanied by accretion and minor merge…