Binning of kernel-based projection pursuit indices in XGobi

The software XGobi offers a selection of different index functions to be used in exploratory projection pursuit (EPP). EPP is a method for finding interesting low-dimensional (in this case two-dimensional) projections of high-dimensional data. We discuss the inclusion of two additional index functio...

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Bibliographic Details
Published inComputational statistics & data analysis Vol. 25; no. 3; pp. 363 - 369
Main Authors Klinke, Sigbert, Cook, Dianne
Format Journal Article
LanguageEnglish
Published Elsevier B.V 21.08.1997
Elsevier
SeriesComputational Statistics & Data Analysis
Subjects
exploratory projection pursuit
fast implementation
Highdimensional data analysis
kernel density estimation
kernel density estimation
Highdimensional data analysis
fast implementation
exploratory projection pursuit
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Summary:The software XGobi offers a selection of different index functions to be used in exploratory projection pursuit (EPP). EPP is a method for finding interesting low-dimensional (in this case two-dimensional) projections of high-dimensional data. We discuss the inclusion of two additional index functions which make use of several standard techniques to improve the speed of the indices based on kernel density estimation. Unfortunately, the speed improvements do not apply to derivative calculations, but then are seldomly required in XGobi so speed does not matter much.
ISSN:0167-9473
1872-7352
DOI:10.1016/S0167-9473(97)82604-7