Date of Award
2013
Document Type
Project
Degree Name
Master of Science in Computer Science
Department
School of Computer Science and Engineering
First Advisor
Qiao, Haiyan
Second Advisor
Gomez, Ernesto
Third Advisor
Voigt, Kerstin
Abstract
For this project, a comprehensive literature review on high dimensional data clustering is conducted and a novel density-algorithm to perform high dimensional data clustering is developed.
Recommended Citation
Kao, Chin-Chieh, "An efficient algorithm to solve high-dimensional data clustering: Candidate subspace clustering algorithm" (2013). Theses Digitization Project. 4221.
https://scholarworks.lib.csusb.edu/etd-project/4221
