Date of Award
1-1-2015
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
College/School/Department
Department of Computer Science
Content Description
1 online resource (ix, 59 pages) : color illustrations
Dissertation/Thesis Chair
Siwei Lyu
Committee Members
Ming-Ching Chang, Charles Micchelli
Keywords
NONNEGATIVE MATRIX FACTORIZATIONS, TOPIC ANALYSIS, Non-negative matrices, Information retrieval, Factorization (Mathematics), Document clustering, Data mining
Subject Categories
Computer Sciences
Abstract
Managing large and growing amount of information is a central goal of modern computer science. Data repositories of texts, images and videos have become widely accessible, thus necessitating good methods of retrieval, organization and exploration.
Recommended Citation
Wang, Xin, "Topic analysis and application using nonnegative matrix factorizations (NMF)" (2015). Legacy Theses & Dissertations (2009 - 2024). 1535.
https://scholarsarchive.library.albany.edu/legacy-etd/1535