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bigdatadist (version 1.1)

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

Description

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).

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Version

Install

install.packages('bigdatadist')

Monthly Downloads

256

Version

1.1

License

GPL (>= 3)

Maintainer

Gabriel Martos

Last Published

September 24th, 2018

Functions in bigdatadist (1.1)

levelsetdist

Level Set Distances
merval

Merval Index
gmdepth.fd

Generalized Mahalanobis Kernel Depth and Distance for Functional Data
gmdepth

Generalized Mahalanobis Depth and Distance
entropy

Entropy Computation
rkhs

RKHS Representation
entropy.fd

Functional Entropy Measures
kmdepth.fd

Kernel Mahalanobis Depth for Functional Data
Ausmale

Australian Male Mortality Rates
fdframe

Functional Data Frame