dP_dv

PURPOSE

Derivative of transformed data projections along projection vector V

SYNOPSIS

function DT = dP_dv(proj, X, weights, a, d)

DESCRIPTION

Derivative of transformed data projections along projection vector V
DT = DP_DV(PROJ, X, WEIGHTS, A, D)

 Inputs:
    (PROJ): Projected data 
    (X): Data matrix
    (WEIGHTS): Weight assigned to each observation (in case of micro-clustering)
    (A): alpha parameter used to determine range
    (D): parameter used by distance transformation function

 Output:
    (OUT): Derivative of transformed data projections along (V)

CROSS-REFERENCE INFORMATION

This function calls:

This function is called by:

f_df_sc Function value and derivative of second smallest eigenvalue of normalised Laplacian