A Theoretical Analysis of Noisy Sparse Subspace Clustering on Dimensionality-Reduced Data

24 Oct 2016Yining WangYu-Xiang WangAarti Singh

Subspace clustering is the problem of partitioning unlabeled data points into a number of clusters so that data points within one cluster lie approximately on a low-dimensional linear subspace. In many practical scenarios, the dimensionality of data points to be clustered are compressed due to constraints of measurement, computation or privacy... (read more)

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