Distances for Machine Learning and Statistics in the Context of Big Data

Functions to compute distances between probability measures or any other data object than can be posed in this way, entropy measures for samples of curves, distances and depth measures for functional data, and the Generalized Mahalanobis Kernel distance for high dimensional data. For further details about the metrics please refer to Martos et al (2014) ; Martos et al (2018) ; Hernandez et al (2018, submitted); Martos et al (2018, submitted).


Reference manual

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1.1 by Gabriel Martos, 3 years ago

Browse source code at https://github.com/cran/bigdatadist

Authors: Gabriel Martos [aut, cre] , Nicolas Hernandez [aut]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports MASS, FNN, rrcov, pdist

See at CRAN