fgt_kde
PURPOSE
Interface to improved Fast Gauss Transform to compute one-dimensional KDE with Gaussian kernels
SYNOPSIS
function out = fgt_kde(proj, Y, h)
DESCRIPTION
Interface to improved Fast Gauss Transform to compute one-dimensional KDE with Gaussian kernels OUT = FGT_KDE(X, Y, H) Input: (X): Column vector representing one dimensional sample (Y): Points at which the value of the KDE will be evaluated (H): Bandwidth parameter Output: (OUT): Estimated density at (Y)
CROSS-REFERENCE INFORMATION
This function calls:- depddppp Projection Pursuit function for dePDDP algorithm
- gsep Generic binary cluster separator class
- reldepth Relative Depth
- mchp Maximum Clusterability Hyperplane (inherits from HP class)
- mdhp MDHP implements Minimum Density Hyperplane (inherits from HP class)
- pkde Penalised density on of one-dimensional (projected) dataset at (x)
- nchp Minimum Normalised Cut Hyperplane (inherits from HP class)
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