The command merges classes from <cldata> according to the groups defined by a classified data <groups>. Now identifiers in <groups> refer to the classes in <cldata> instead of the data records.
Example (ex3.1): In the case of SOMs, merging means that data records which are clustered between neurons are collected to larger classes. In other words, the indexes of the data records in the neurons of the group are collected to the same class in the classified data <trgcldata>.
... NDA> somtr -d boston -sout som1 -l 4 NDA> somcl -d boston -s som1 -cout cld1 ... NDA> mkgrp grp1 -s som1 ... # grouping by a graphical tool -> groups are stored in the # classified data "groups". SOM classification for data records # are stored in "cld1". ... NDA> mergecld -c1 groups -c2 cld1 -cout classif ... # To utilize the classification "classif": NDA> bin -d boston -c classif -dout data2 NDA> pickrec -d boston -c classif -dout data3 ....
