Clustering Problems for High Dimensional Data

Clustering Problems for High Dimensional Data

We consider a clustering problem where we observe feature vectors Xi ∈ Rp, i = 1, 2, ..., n, from several possible classes. The class labels are unknown and the main interest is to estimate these labels. We propose a three-step clustering procedure where we first evaluate the significance of each fe...

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Bibliographic Details
Main Author:	Wang, Wangie
Format:	Others
Published:	Research Showcase @ CMU 2014
Online Access:	http://repository.cmu.edu/dissertations/384 http://repository.cmu.edu/cgi/viewcontent.cgi?article=1384&context=dissertations

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