swMATH ID: 23578
Software Authors: Albanese, D., Filosi, M., Visintainer, R.
Description: minepy - Maximal Information-based Nonparametric Exploration. minepy provides an ANSI C library for the Maximal Information-based Nonparametric Exploration (MIC and MINE family). Key features: APPROX-MIC (the original algorithm, DOI: 10.1126/science.1205438) and MIC_e (DOI: arXiv:1505.02213 and DOI: arXiv:1505.02214) estimators; Total Information Coefficient (TIC, DOI: arXiv:1505.02213) and the Generalized Mean Information Coefficient (GMIC, DOI: arXiv:1308.5712); a C++ interface; an efficient Python API (Python 2 and 3 compatibility); an efficient MATLAB/OCTAVE API;
Homepage: http://minepy.readthedocs.io/en/latest/
Keywords: Machine Learning; arXiv_stat.ML; Quantitative Methods; arXiv_q-bio.QM; Minerva; minepy; C engine; MINE suite
Related Software: minerva; R; Hmisc; Matlab; Python; PhysioToolkit; Muxviz; sna; tsna; nonlinearTseries; dbscan; TSdist; mmpp; infotheo; dtw; igraph; ts2net; testforDEP; galahr; spinebil
Cited in: 4 Publications

Standard Articles

1 Publication describing the Software Year
Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers
Davide Albanese, Michele Filosi, Roberto Visintainer, Samantha Riccadonna, Giuseppe Jurman, Cesare Furlanello

Citations by Year