Browsing by Subject "Clustering"
Now showing items 1-8 of 8
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Bayesian variable selection in clustering via dirichlet process mixture models
(Texas A&M University, 2007-09-17)The increased collection of high-dimensional data in various fields has raised a strong interest in clustering algorithms and variable selection procedures. In this disserta- tion, I propose a model-based method that ... -
Black Box Approach for Energy Monitoring of Commercial Buildings
(Energy Systems Laboratory (http://esl.tamu.edu), 2008-10)The potential to save energy by changing operational parameters - especially in existing commercial buildings – is in the magnitude of 5-30%. In order to realize this saving potential in the long term, continuous commissioning ... -
Bootstrapping in a high dimensional but very low sample size problem
(Texas A&M University, 2006-08-16)High Dimension, Low Sample Size (HDLSS) problems have received much attention recently in many areas of science. Analysis of microarray experiments is one such area. Numerous studies are on-going to investigate the behavior ... -
A Comparison of Clustering Methods for Developing Models of User Interest
(2012-07-16)For open-ended information tasks, users must sift through many potentially relevant documents assessing and prioritizing them based on relevance to current information need, a practice we refer to as document triage. Users ... -
Feature Selection for Unsupervised and Supervised Learning
(2018-11-01)Unsupervised and semi-supervised learning are explored in convex clustering with metric learning while supervised learning is explored in a novel feature selection method. First, we evaluate the performance of convex ... -
Multivariate Analysis Applied to the California Health Interview Survey
Objective: Identify if principle components analysis and multiple correspondence analysis are suitable dimension reduction techniques for the California Health Interview Survey. Identify which health risk behaviors, mental ... -
Nonparametric Bayesian analysis of some clustering problems
(Texas A&M University, 2006-10-30)Nonparametric Bayesian models have been researched extensively in the past 10 years following the work of Escobar and West (1995) on sampling schemes for Dirichlet processes. The infinite mixture representation of the ... -
On the effect of INQUERY term-weighting scheme on query-sensitive similarity measures
(Texas A&M University, 2006-04-12)Cluster-based information retrieval systems often use a similarity measure to compute the association among text documents. In this thesis, we focus on a class of similarity measures named Query-Sensitive Similarity (QSS) ...