palette
PURPOSE
Determines colours used for visualisation
SYNOPSIS
function out = palette(nc,colours)
DESCRIPTION
Determines colours used for visualisation OUT = PALETTE(NC,COLOURS) Inputs: (NC): Number of clusters (if NC=1 it assumed that true clusters are unknown) (COLOURS): Matrix of colours (optional argument) Output: (OUT): Matrix of RGB colours
CROSS-REFERENCE INFORMATION
This function calls:- ldakmeans LDA-K-means algorithm
- mcdc Maximum Clusterability Divisive Clustering
- mddc Minimum Density Divisive Clustering
- ncutdc Minimum Normalised Cut Divisive Clustering
- scppdc Spectral Clustering Projection Pursuit Divisive Clustering
- gsep Generic binary cluster separator class
- hp Class implementing generic hyperplane interface
- myparser Function used to parse optional arguments in form of Name,Value pairs for a number of OPC algorithms
- ctree Class implementing cluster hierarchy in tree data structure
- schp Class implementing a linear projection subspace of arbitrary dimensions estimated through SCPP
Generated on Tue 17-Jul-2018 18:58:09 by m2html © 2005