Geodesic distances in the maximum likelihood estimator of intrinsic dimensionality
While analyzing multidimensional data, we often have to reduce their dimensionality so that to preserve as much information on the analyzed data set as possible. To this end, it is reasonable to find out the intrinsic dimensionality of the data. In this paper, two techniques for the intrinsic dimen...
Main Authors: | Rasa Karbauskaitė, Gintautas Dzemyda, Edmundas Mazėtis |
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Format: | Article |
Language: | English |
Published: |
Vilnius University Press
2011-12-01
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Series: | Nonlinear Analysis |
Subjects: | |
Online Access: | http://www.zurnalai.vu.lt/nonlinear-analysis/article/view/14084 |
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