most citedEfficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures

9 citations · 18 across the 2 of their papers we have counts for

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2 papers

math.ST2014★ 9 cited

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…

math.ST2014★ 9 cited

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…