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Intrinsic dimensionality estimation techniques

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Intrinsic dimensionality estimation techniques



31 Jan 2013 (Updated )

Implementation of some state-of-art intrinsic dimensionality estimators.

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Data analysis is a fundamental step to face real Machine-Learning problems, various well-known ML techniques, such as those related to clustering or dimensionality reduction, require the intrinsic dimensionality (id) of the dataset as a parameter.

To the aim of automate the estimation of the id, in literature various techniques has been described, this small toolbox contains the implementation of some state-of-art of them, that is: MLE, MiND_ML, MiND_KL, DANCo, DANCoFit.

For an R implementation see:

Required Products Curve Fitting Toolbox
MATLAB release MATLAB 7.13 (R2011b)
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Comments and Ratings (1)
14 May 2016 Nejc Ilc

24 May 2013 1.1

Added a reference to an R implementation in the description.

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