reldepth

PURPOSE

Relative Depth

SYNOPSIS

function out = reldepth(v, X, pars)

DESCRIPTION

Relative Depth
OUT = RELDEPTH(V, X, PARS)
 
 Inputs:
    (V): Projection vector
    (X): Data matrix (if X is a column vector then it is assumed that 
        it is the projected dataset: Data*v)
    (PARS): Structure array that contains (bandwidth) and optionally range (alpha)

 Output:
    (OUT): Relative depth 

Reference:
N.G. Pavlidis, D.P. Hofmeyr and S.K. Tasoulis. Minimum density hyperplanes.
Journal of Machine Learning Research, 17(156):1-33, 2016.
http://jmlr.org/papers/v17/15-307.html.

CROSS-REFERENCE INFORMATION

This function calls:

fgt_kde Interface to improved Fast Gauss Transform to compute one-dimensional KDE with Gaussian kernels

This function is called by:

mdhp MDHP implements Minimum Density Hyperplane (inherits from HP class)
mdpp Minimum Density Projection Pursuit (MDPP) algorithm