The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
The Geometric Interpretation of Correspondence Analysis
Abstract
Correspondence analysis is an exploratory multivariate technique that converts a data matrix into a particular type of graphical display in which the rows and columns are depicted as points. The method has a long and varied history and has appeared in different forms in the psychometric and ecological literature, among others. In this article we review the geometry of correspondence analysis and its geometric interpretation. We also discuss various extensions of correspondence analysis to multivariate categorical data (multiple correspondence analysis) and a variety of other data types.
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Cites
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Cited by
Iacobucci, D., & Ostrom, A. (1996) · International Journal of Research in Marketing · doi:10.1016/0167-8116(95)00034-8 · Cited by 285
Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data
Lause, J., Berens, P., & Kobak, D. (2021) · Genome Biology · doi:10.1186/s13059-021-02451-7 · Cited by 195
The Attitude of Tourist Destination Residents towards the Effects of Overtourism—Kraków Case Study
Szromek, A. R., Kruczek, Z., & Walas, B. (2019) · Sustainability · doi:10.3390/su12010228 · Cited by 127
Beyond WEIRD Psychology: Measuring and Mapping Scales of Cultural and Psychological Distance
Muthukrishna, M., Bell, A., Henrich, J., Curtin, C., Gedranovich, A., McInerney, J., & Thue, B. (2018) · doi:10.2139/ssrn.3259613 · Cited by 38
Lee, S. J., Paas, L., & Ahn, H. S. (2024) · International Journal of Market Research · doi:10.1177/14707853241261248 · Cited by 6
“Higher scores indicate stronger associations with the dimension ’ s trend (Greenacre & Hastie, 1987).”
Metadata
- Authors
- Greenacre, M., & Hastie, T.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1987-06
- Volume
- 82
- Issue
- 398
- Pages
- 437-447
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W1980718821
- Cited by
- 444
- References
- 23
- FWCI
- 7.10
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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