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

Fischer, Daniel, Berro, Alain, Nordhausen, Klaus and Ruiz-Gazen, Anne (2019) REPPlab: An R package for detecting clusters and outliers using exploratory projection pursuit. TSE Working Paper, n. 19-1001, Toulouse

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Official URL: http://tse-fr.eu/pub/122892

Abstract

The R-package REPPlab is designed to explore multivariate data sets using one-dimensional unsupervised projection pursuit. It is useful as a preprocessing step to find clusters or as an outlier detection tool for multivariate data. Except from the packages tourr and rggobi, there is no implementation of exploratory projection pursuit tools available in R. REPPlab is an R interface for the Java program EPP-lab that implements four projection indices and three biologically inspired optimization algorithms. It also proposes new tools for plotting and combining the results and specific tools for outlier detection. The functionality of the package is illustrated through some simulations and using some real data.

Item Type: Monograph (Working Paper)
Language: English
Date: March 2019
Place of Publication: Toulouse
Uncontrolled Keywords: genetic algorithms, Java, kurtosis, particle swarm optimization, projection index, Tribes, projection matrix, unsupervised data analysis
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Institution: Université Toulouse 1 Capitole
Site: UT1
Date Deposited: 27 Mar 2019 09:10
Last Modified: 28 Jun 2019 09:31
["eprint_fieldname_oai_identifier" not defined]: oai:tse-fr.eu:122892
URI: http://publications.ut-capitole.fr/id/eprint/32269

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