Clustering Toolbox

            Clustering Toolbox version 3.1
Copyright (c) by Dr. Eng. (J) Harald Galda, 2011

This toolbox implements functions for clustering and for evaluating clustering
algorithms.

The following functionality is provided:

1.  Random selection of row vectors from a matrix

2. Crisp clustering
- calculation of distances between sample vectors and cluster centers
- nearest neighbor search
- quantization error calculation
- c-means clustering
- Davies-Bouldin index

3. Fuzzy clustering
- fuzzy membership calculation
- fuzzy quantization error calculation
- fuzzy c-means clustering
- Xie-Beni index

4. Self organizing maps
- intialization with regular grid
- training
- mapping sample vectors to places on self organizing map

5. Visualization
- scatter plot of 2D principal component analysis

The data in the file IrisData.csv have been taken from the URL
http://en.wikipedia.org/wiki/Iris_flower_data_set#Data_set

Changes between versions 3.2 and 3.1
- error in TrainSOM corrected
- expressions that cause warnings corrected