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Non-Greedy L21-Norm Maximization for Principal Component Analysis

Non-Greedy L21-Norm Maximization for Principal Component Analysis

28 March 2016

Heng-Chiao Huang

ArXiv (abs)PDF HTML

Papers citing "Non-Greedy L21-Norm Maximization for Principal Component Analysis"

3 / 3 papers shown

Model-Agnostic Interpretation Framework in Machine Learning: A
Comparative Study in NBA Sports

Model-Agnostic Interpretation Framework in Machine Learning: A Comparative Study in NBA Sports

302

0

0

05 Jan 2024

K-Nearest-Neighbors Induced Topological PCA for scRNA Sequence Data
Analysis

K-Nearest-Neighbors Induced Topological PCA for scRNA Sequence Data Analysis

173

5

0

23 Oct 2023

On Finite-Step Convergence of the Non-Greedy Algorithm and Proximal
Alternating Minimization Method with Extrapolation for $L_1$-Norm PCA

On Finite-Step Convergence of the Non-Greedy Algorithm and Proximal Alternating Minimization Method with Extrapolation for

L_1

307

0

0

15 Feb 2023

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