Detecting Multivariate Outliers Using Projection Pursuit with Particle Swarm Optimization

DOI10.1007/978-3-7908-2604-3_8zbMath1436.62306OpenAlexW2215345492MaRDI QIDQ3298450

Souad Larabi Marie-Sainte, Anne Ruiz-Gazen, Alain Berro

Publication date: 14 July 2020

Published in: Proceedings of COMPSTAT'2010 (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-7908-2604-3_8

zbMATH Keywords

heuristic algorithmsprojection pursuitparticle swarm optimizationmultivariate outliers detectiontribes algorithm

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Multivariate analysis (62H99) Factor analysis and principal components; correspondence analysis (62H25) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (1)

REPPlab: An R package for detecting clusters and outliers using exploratory projection pursuit

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