3 papers
stat.ME2026
A scalable version of MADD for big-data classification
Annesha Ghosh, Adrija Saha, Soham Sarkar
Distance-based classifiers are very popular, and the Euclidean distance is one of the most commonly used metrics in distance-based classifiers. However, classifiers based on the Eu…
stat.ML2024
On high-dimensional modifications of the nearest neighbor classifier
Annesha Ghosh, Deep Ghoshal, Bilol Banerjee +1
Nearest neighbor classifier is arguably the most simple and popular nonparametric classifier available in the literature. However, due to the concentration of pairwise distances an…
stat.ME2024
Classification Using Global and Local Mahalanobis Distances
Annesha Ghosh, Anil K. Ghosh, Rita SahaRay +1
We propose a novel semiparametric classifier based on Mahalanobis distances of an observation from the competing classes. Our tool is a generalized additive model with the logistic…