Abstract
The work reported in this paper was supported by Grant 290439 and Grant 10630 from the Natural Sciences and Engineering Research Council of Canada to the first and third authors, respectively. Data from the 2000 Canadian Election Survey were provided by the Institute for Social Research, York University. The survey was funded by the Social Sciences and Humanities Research Council of Canada, and was completed for the 2000 Canadian Election Team of Andre Blais (Universite de Montreal), Elisabeth Gidengil (McGill University), Richard Nadeau (Universite de Montreal) and Neil Nevitte (University of Toronto). Neither the Institute for Social Research, the SSHRC, nor the Canadian Election Survey Team are responsible for the analyses and interpretations presented here.
Keywords
Correspondence analysisCorrespondence problemComputer scienceArtificial intelligenceMachine learning
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Publication Info
- Year
- 2009
- Type
- book-chapter
- Pages
- 243-263
- Citations
- 17
- Access
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Cite This
Heungsun Hwang,
Marc A. Tomiuk,
Yoshio Takane
(2009).
Correspondence Analysis, Multiple Correspondence Analysis, and Recent Developments.
, 243-263.
https://doi.org/10.4135/9780857020994.n11
Identifiers
- DOI
- 10.4135/9780857020994.n11