16 citations · 41 across the 5 of their papers we have counts for
3 papers · 1 filter
Feature Selection For High-Dimensional Clustering
Larry Wasserman, Martin Azizyan, Aarti Singh
We present a nonparametric method for selecting informative features in high-dimensional clustering problems. We start with a screening step that uses a test for multimodality. The…
Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures
Martin Azizyan, Aarti Singh, Larry Wasserman
We consider the problem of clustering data points in high dimensions, i.e. when the number of data points may be much smaller than the number of dimensions. Specifically, we consid…
Subspace Learning from Extremely Compressed Measurements
Akshay Krishnamurthy, Martin Azizyan, Aarti Singh
We consider learning the principal subspace of a large set of vectors from an extremely small number of compressive measurements of each vector. Our theoretical results show that e…