Distances for Machine Learning and Statistics in the Context of Big Data
Functional Entropy Measures
Entropy Computation
Functional Data Frame
Generalized Mahalanobis Kernel Depth and Distance for Functional Data
Generalized Mahalanobis Depth and Distance
Kernel Mahalanobis Depth for Functional Data
Level Set Distances
RKHS Representation
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) <doi:10.3233/IDA-140706>; Martos et al (2018) <doi:10.3390/e20010033>; Hernandez et al (2018, submitted); Martos et al (2018, submitted).