The operation computes the distances between data records and their BMU neurons. The operation is executed for each layer in the TS-SOM. The distances are computed in the direction of each SOM dimension, and every dimension of each layer will have own field which is named as <layer>_<dimension>. The dimension is indexed beginning from zero. The distances are scaled in [-1,1].
Example (ex5.5): The example shows how distances can be used with trajectories. When the distance data is given to the operation traj (see Sect. 7.2.3), trajectory lines are not located to the centroids of the neurons, but they are moved according to the distances.
NDA> load boston.dat NDA> prepro -d boston -dout pre1 -e -n NDA> somtr -d pre1 -sout s1 -l 6 NDA> somcl -s s1 -d pre1 -cout c1 NDA> somproj -s s1 -w s1_W -d pre1 -c c1 -dout dist1 NDA> clstat -c c1 -d pre1 -dout sta1 -avg -min -max -var -hits NDA> mkgrp win1 -s s1 NDA> setgdat win1 -d sta1 NDA> setgcld win1 -c c1 # # ... using the mapping with a trajectory NDA> traj win1 -n a -co red -c c1 -d dist1 -min 0 -max 3000 -c c1 -d dist1 ...