Banks, D.
and Olszewski, R.
(1997),
Estimating Local Dimensionality, American Statistical Association Section on Computational Statistics, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=151731
(Accessed November 8, 2024)
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Estimating Local Dimensionality
Published
Author(s)
, R Olszewski
Abstract
This paper suggests that one can use principal components analysis to assess the local dimensionality in a complex dataset. If this is large, then data mining is unlikely to be successful. If it is small, then various statistical techniques may be able to uncover hidden structure.Citation
American Statistical Association Section on Computational Statistics
Pub Type
Journals
Download Paper
Keywords
curse of dimensionality, data mining, nonparametrics
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.
Created December 15, 1997, Updated February 17, 2017