Computes the Bhattacharyya distance for feature selection in machine learning.
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Updated
Apr 17, 2018 - Python
Computes the Bhattacharyya distance for feature selection in machine learning.
Bhattachryya and Hellinger distance as Python functions
Parallel Bhattacharyya Distance Measure algorithm
Paper II of "Statistical Pharmacology via Kakutani Dichotomy": the correlated Kakutani index (CKI), the 99.95% covariance dominance theorem (Szego rate in closed form) and spectral fingerprints of cryptic allostery. Paper (LaTeX/PDF), reproducible Python code, data and figures. DOI 10.5281/zenodo.23012217
Paper III of "Statistical Pharmacology via Kakutani Dichotomy": spectral Kakutani-Feldman-Hajek criticality of correlated conformational modes (mode amplitude perturbation vs iso-spectral Givens rotation), the doubling tail-increment estimator that removes the finite-size bias at alpha_c = 1/2, and the geodesic parity theorem on the SPD cone. Paper
Paper VII of Statistical Pharmacology via Kakutani Dichotomy: kakutani_pharma, a Python pipeline for Kakutani indices of MD conformational ensembles. Ledoit-Wolf regularized CKI with an exact three-way decomposition, split-trajectory null subtraction, within-half block bootstrap, and pocket-centred shell-scaling exponents. Validated on a synthetic
Adaptive matched filters algorithm
A comparative study of 5 different color detectors (the goal is to detect of the prominent color in the image).
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