||Umatrix (unified distance matrix) visualizes the distances between the neurons (red dots). The distance between the adjacent neuons is calculated and presented with different colorings between the adjacent nodes. A dark coloring between the neurons corresponds to a large distance and thus a gap between the codebook values in the input space. A light coloring between the neurons signifies that the codebook vectors are close to each other in the input space. Light areas can be thought as clusters and dark areas as cluster separators. This can be a helpful presentation when one tries to find clusters in the input data without having any a priori information about the clusters.
Umatrix class visualized KohonenNetwork class. Dynamically recalculate size of hexagon for the bounding box, where is drawing.
If DrawText properties is true, then Umatrix draws name of vector next to neuron, But it's limited to show max. 3 name of vector next to one neuron.
If DrawCluster properties is true, then Umatrix draws border between neurons from diferent cluster
If DrawClusterID is true, then Umatrix draws clusterID northwest from the neurons.