research
∙
02/13/2021
Robust Model-Based Clustering
We propose a new class of robust and Fisher-consistent estimators for mi...
share
research
∙
10/02/2020
Regularized K-means through hard-thresholding
We study a framework of regularized K-means methods based on direct pena...
research
∙
12/22/2019
Pooled variable scaling for cluster analysis
We propose a new approach for scaling prior to cluster analysis based on...
research
∙
12/22/2019
Pooled scale estimators for scaling prior to cluster analysis
We propose a new approach for scaling prior to cluster analysis based on...
research
∙
06/19/2019
Robust Clustering Using Tau-Scales
K means is a popular non-parametric clustering procedure introduced by S...
research
∙
08/17/2018
A Stepwise Approach for High-Dimensional Gaussian Graphical Models
We present a stepwise approach to estimate high dimensional Gaussian gra...
research
∙
07/03/2017
Regression Phalanxes
Tomal et al. (2015) introduced the notion of "phalanxes" in the context ...
research
∙
06/21/2017
Ensembles of Models and Metrics for Robust Ranking of Homologous Proteins
An ensemble of models (EM), where each model is constructed on a diverse...
research
∙
03/20/2013