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math.OC2022
A Linearly Convergent Algorithm for Rotationally Invariant -Norm Principal Component Analysis
Taoli Zheng, Peng Wang, Anthony Man-Cho So
To do dimensionality reduction on the datasets with outliers, the -norm principal component analysis (L1-PCA) as a typical robust alternative of the conventional PCA has en…
math.OC2022★ 1 cited
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering
Peng Wang, Huikang Liu, Anthony Man-Cho So +1
The K-subspaces (KSS) method is a generalization of the K-means method for subspace clustering. In this work, we present local convergence analysis and a recovery guarantee for KSS…