Abstract
Projection pursuit is concerned with "interesting" projections of high dimensional data sets, with finding such projections by machine, and with using them for nonparametric fitting and other data-analytic purposes. This survey attempts to put the fascinating problems and ramifications of projection pursuit--which range from principal components, multidimensional scaling, factor analysis, nonparametric regression, density estimation and deconvolution of time series to computer tomography and problems in pure mathematics--into a coherent perspective
Keywords
Projection pursuitMathematicsNonparametric statisticsProjection (relational algebra)DeconvolutionRange (aeronautics)Multidimensional scalingPerspective (graphical)Principal component analysisSeries (stratigraphy)Density estimationArtificial intelligenceApplied mathematicsEconometricsStatisticsAlgorithmComputer scienceGeometry
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Publication Info
- Year
- 1985
- Type
- article
- Volume
- 13
- Issue
- 2
- Citations
- 1139
- Access
- Closed
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Cite This
Peter J. Huber
(1985).
Projection Pursuit.
The Annals of Statistics
, 13
(2)
.
https://doi.org/10.1214/aos/1176349519
Identifiers
- DOI
- 10.1214/aos/1176349519