Author

Paromita Banerjee

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Preprint Aug 2026

Robust K-means Clustering using the Density Power Divergence Measure

A robust clustering method that estimates cluster centers and covariance matrices using density power divergence measures combined with Mahalanobis distance, making it resistant to outliers and adaptable to heterogeneous, elliptical clusters, unlike the classical K-means algorithm is introduced.

Anirban Mondal, Paromita Banerjee, A. Mandal · 0 citations

Preprint Aug 2026

A Bayesian Time-Varying SEIARD Model for State-Level COVID-19 Transmission and Mortality in the United States

A retrospective analysis of COVID-19 transmission dynamics across U.S. states using a modified population-based Susceptible-Exposed-Infectious-Asymptomatic-Recovered-Deceased (SEIARD) compartmental model provides insights into state-level epidemic trajectories and supports data-driven decision-making for optimal alloca...

Paromita Banerjee · 0 citations