Classification with many classes: Challenges and pluses

Felix Abramovich and Marianna Pensky

Journal of Multivariate Analysis, 2019, vol. 174, issue C

Abstract: The objective of the paper is to study accuracy of multi-class classification in high-dimensional setting, where the number of classes is also large (“large L, large p, small n” model). While this problem arises in many practical applications and many techniques have been recently developed for its solution, to the best of our knowledge nobody provided a rigorous theoretical analysis of this important setup. The purpose of the present paper is to fill in this gap.

Keywords: Feature selection; High-dimensionality; Misclassification error; Multi-class classification; Sparsity (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)

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DOI: 10.1016/j.jmva.2019.104536

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