An efficient algorithm to solve high-dimensional data clustering: Candidate subspace clustering algorithm
Date of Award
Master of Science in Computer Science
School of Computer Science and Engineering
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.
Kao, Chin-Chieh, "An efficient algorithm to solve high-dimensional data clustering: Candidate subspace clustering algorithm" (2013). Theses Digitization Project. 4221.