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amap

R package amap: Another Multidimensional Analysis Package. Tools for Clustering and Principal Component Analysis (With robust methods, and parallelized functions).

Keywords for this software

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  • principal components analysis
  • correspondence analysis
  • multivariate analysis
  • multidimensional scaling
  • arXiv_publication
  • arXiv_tat.CO
  • generalized singular value decomposition
  • GSVD
  • Machine Learning
  • partial least squares
  • classifying multivariate data into groups
  • cluster analysis
  • arXiv_cs.LG
  • arXiv_stat.ME
  • canonical correlation

  • URL: cran.r-project.org/web...
  • Code
  • InternetArchive
  • Manual: cran.r-project.org/web...
  • Authors: Antoine Lucas
  • Dependencies: R

  • Add information on this software.


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References in zbMATH (referenced in 4 articles )

Showing results 1 to 4 of 4.
y Sorted by year (citations)

  1. Derek Beaton: Generalized eigen, singular value, and partial least squares decompositions: The GSVD package (2020) arXiv
  2. Giordani, Paolo; Ferraro, Maria Brigida; Martella, Francesca: An introduction to clustering with R (2020)
  3. Daniel Fischer, Alain Berro, Klaus Nordhausen, Anne Ruiz-Gazen: REPPlab: An R package for detecting clusters and outliers using exploratory projection pursuit (2016) arXiv
  4. Nicolas Turenne: svcR: An R Package for Support Vector Clustering improved with Geometric Hashing applied to Lexical Pattern Discovery (2015) arXiv

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