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...

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Bibliographic Details
Main Authors: Rasa Karbauskaitė, Gintautas Dzemyda, Edmundas Mazėtis
Format: Article
Language:English
Published: Vilnius University Press 2011-12-01
Series:Nonlinear Analysis
Subjects:
Online Access:http://www.zurnalai.vu.lt/nonlinear-analysis/article/view/14084