Abstract
An algorithm for the analysis of multivariate data is presented and is discussed in terms of specific examples. The algorithm seeks to find one-and two-dimensional linear projections of multivariate data that are relatively highly revealing.
Keywords
Multivariate statisticsProjection pursuitComputer scienceAlgorithmMultivariate analysisExploratory data analysisProjection (relational algebra)Artificial intelligencePattern recognition (psychology)Data miningMachine learning
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Publication Info
- Year
- 1974
- Type
- article
- Volume
- C-23
- Issue
- 9
- Pages
- 881-890
- Citations
- 1631
- Access
- Closed
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Cite This
Jerome H. Friedman,
John W. Tukey
(1974).
A Projection Pursuit Algorithm for Exploratory Data Analysis.
IEEE Transactions on Computers
, C-23
(9)
, 881-890.
https://doi.org/10.1109/t-c.1974.224051
Identifiers
- DOI
- 10.1109/t-c.1974.224051