activity
20082022
most citedClustering categorical data via ensembling dissimilarity matrices

22 citations · 22 across the 3 of their papers we have counts for

collaborators

5 papers

stat.ME2022

Predictive Criteria for Prior Selection Using Shrinkage in Linear Models

Dean Dustin, Bertrand Clarke, Jennifer Clarke

Choosing a shrinkage method can be done by selecting a penalty from a list of pre-specified penalties or by constructing a penalty based on the data. If a list of penalties for a c…

stat.AP2018

Modeling association in microbial communities with clique loglinear models

Adrian Dobra, Camilo Valdes, Dragana Ajdic +2

There is a growing awareness of the important roles that microbial communities play in complex biological processes. Modern investigation of these often uses next generation sequen…

stat.ML2015★ 22 cited

Clustering categorical data via ensembling dissimilarity matrices

Saeid Amiri, Bertrand Clarke, Jennifer Clarke

We present a technique for clustering categorical data by generating many dissimilarity matrices and averaging over them. We begin by demonstrating our technique on low dimensional…

stat.ML2015

A General Hybrid Clustering Technique

Saeid Amiri, Bertrand Clarke, Jennifer Clarke +1

Here, we propose a clustering technique for general clustering problems including those that have non-convex clusters. For a given desired number of clusters , we use three stag…

stat.AP2008

An ensemble approach to improved prediction from multitype data

Jennifer Clarke, David Seo

We have developed a strategy for the analysis of newly available binary data to improve outcome predictions based on existing data (binary or non-binary). Our strategy involves two…