Paper Info
Title
REPPlab: An R package for detecting clusters and outliers using exploratory projection pursuit
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.
Year
DOI
Venue
2021
10.1080/03610918.2019.1626880
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
Keywords
DocType
Volume
Genetic algorithms, Java, Kurtosis, Particle swarm optimization, Projection index, Tribes, Projection matrix, Unsupervised data analysis
Journal
50
Issue
ISSN
Citations 
11
0361-0918
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Daniel Fischer111.11
Alain Berro2266.08
Klaus Nordhausen39014.33
Anne Ruiz-Gazen4183.53