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  "Date": "2018-09-23",
  "Title": "Distances for Machine Learning and Statistics in the Context of\nBig Data",
  "Description": "Functions to compute distances between probability\nmeasures or any other data object than can be posed in this\nway, entropy measures for samples of curves, distances and\ndepth measures for functional data, and the Generalized\nMahalanobis Kernel distance for high dimensional data. For\nfurther details about the metrics please refer to Martos et al\n(2014) <doi:10.3233/IDA-140706>; Martos et al (2018)\n<doi:10.3390/e20010033>; Hernandez et al (2018, submitted);\nMartos et al (2018, submitted).",
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  "Author": "Gabriel Martos [aut, cre], Nicolas Hernandez [aut]",
  "Maintainer": "Gabriel Martos <gmartos@utdt.edu>",
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