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Effective principal component analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2012) 7404 LNCS 1-7
DOI: 10.1007/978-3-642-32153-5_1
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Abstract

Principal Component Analysis (PCA) is one of the most widely used algorithmic techniques. When is PCA provably effective? What are its main limitations and how can we get around them? In this note, we discuss three specific challenges. © 2012 Springer-Verlag.

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Vempala, S. S. (2012). Effective principal component analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7404 LNCS, pp. 1–7). https://doi.org/10.1007/978-3-642-32153-5_1

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