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An Efficient Algorithm To Solve High-Dimensional Data Clustering: Candidate Subspace Clustering Algorithm, Chin-Chieh Kao
An Efficient Algorithm To Solve High-Dimensional Data Clustering: Candidate Subspace Clustering Algorithm, Chin-Chieh Kao
Theses Digitization Project
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.