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Javier Salazar Cavazos

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#machine learning Open access May 2025

ALPCAHUS: Subspace Clustering for Heteroscedastic Data

This paper develops a heteroscedastic-based subspace clustering method that can estimate the sample-wise noise variances and use this information to improve the estimate of the subspace bases associated with the low-rank structure of the data.

Javier Salazar Cavazos, Jeffrey A. Fessler, Laura Balzano · 1 citation

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