Clustering on the torus by conformal prediction Page 1 The Annals of Applied Statistics 2021,
Vol. 15, No. 4, 1583–1603 https://doi.org/10.1214/21-AOAS1459 © Institute of Mathematical …

In the predictive modeling context, the credibility estimator is a point predictor; it is easy to
calculate and avoids the model misspecification risk asymptotically, but it provides no …

Users' behavioral footprints online enable firms to discover behavior-based user segments
(or, segments) and deliver segment specific messages to users. Following the discovery of …

Online browsing on firms' sites generates user behavior logs (or, logs). These logs are
mainstays that drive several user modeling tasks. The logs that inform user modeling are the …

This paper addresses the problem of identifying modes or density bumps in multivariate
angular or circular data, which have diverse applications in fields like medicine, biology and …

We introduce a density-aided clustering method called Skeleton Clustering that can detect
clusters in multivariate and even high-dimensional data with irregular shapes. To bypass the …

Our research aims to identify density modes within the torus space where the circular data
exhibits significant concentration. We employ persistent homology, primarily utilising the von …

In this work, we present a clustering technique within the conformal prediction framework
and describe its application to bot-generated network traffic in order to build botnet …

Improving the explainability of results from machine learning methods has become an
important research goal. In this thesis, we have studied the problem of making clusters more …