dpkde
PURPOSE
Penalised density on hyperplane: Projection index for MDH
SYNOPSIS
function [df, dkde] = dpkde(x, proj, h, alpha, eta, epsilon)
DESCRIPTION
Penalised density on hyperplane: Projection index for MDH [DF, DKDE] = DPKDE(X, PROJ, H, ALPHA, ETA, EPSILON) Inputs: (X): location of split along the projected data (PROJ): Univariate projection of dataset (X*v) (H): bandwidth parameter (ALPHA): range over which minimisers of 1D density are sought (ETA): Term in penalty function controlling maximum distance between minimisers of the kde and the penalised density integral (recommended value: 0.01) (EPSILON): Term in penalty function controlling smoothness (recommended value: 1) Output: (DF): derivative of one-dimensional penalised density on hyperplane w.r.t. split point (x) (DKDE): derivative of one-dimensional kernel density estimator w.r.t. split point (x)
CROSS-REFERENCE INFORMATION
This function calls:- f_md Penalised density of optimal hyperplane with normal vector (V)
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