Literature DB >> 28197959

Taxicab Correspondence Analysis.

V Choulakian1,2.   

Abstract

Taxicab correspondence analysis is based on the taxicab singular value decomposition of a contingency table, and it shares some similar properties with correspondence analysis. It is more robust than the ordinary correspondence analysis, because it gives uniform weights to all the points. The visual map constructed by taxicab correspondence analysis has a larger sweep and clearer perspective than the map obtained by correspondence analysis. Two examples are provided.

Keywords:  Benzécri et al.’s measure of influence; L 1 norm; correspondence analysis; robustness; singular value decomposition

Year:  2017        PMID: 28197959     DOI: 10.1007/s11336-004-1231-4

Source DB:  PubMed          Journal:  Psychometrika        ISSN: 0033-3123            Impact factor:   2.500


  3 in total

1.  An enhanced branch-and-bound algorithm for a partitioning problem.

Authors:  Michael J Brusco
Journal:  Br J Math Stat Psychol       Date:  2003-05       Impact factor: 3.380

2.  Local optima in K-means clustering: what you don't know may hurt you.

Authors:  Douglas Steinley
Journal:  Psychol Methods       Date:  2003-09

3.  A METHOD FOR CLUSTER ANALYSIS.

Authors:  A W EDWARDS; L L CAVALLI-SFORZA
Journal:  Biometrics       Date:  1965-06       Impact factor: 2.571

  3 in total

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