New concepts of principal component analysis based on maximum separation of clusters

DOI10.1080/03610918.2019.1697450OpenAlexW2995804157WikidataQ126620073 ScholiaQ126620073MaRDI QIDQ5082987

Kaimeng Zhang, Myung Hwan Na, Yong Man Kwon, Chi Tim Ng

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2019.1697450

zbMATH Keywords

principal component analysisknapsack problemcluster analysisdata privacyrandomized multiple response

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Statistical analysis of factor models of high dimension
• Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
• A Dynamic Programming Heuristic for the Quadratic Knapsack Problem
• Asking sensitive questions indirectly
• Analyze gauss
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