3d2str -d <prob-matr> -fout <str-value> [-avg <avg-len>]
- Convert a 3-D conditional probability matrix into a string of characters
codeprob -f <str-fld> -dout <codes> [-aout <avg-fld>]
- Code a string field into a 2-D probability matrix for SOM training
codesent -c1 <cldata1> -c2 <cldata2> -dout <codes> [-bin -step]
- Code the sentences of some text data using neuron indexes of a word SOM.
Each class of <cldata1> specifies one sentence, and <cldata2> is one
layer of a word map. The result can be binary or gradually descending, which
also indicates word order
codetext -f <str-fld> -dout <codes> [-split | -prob]
- Code a string field into SOM training data. -split and -prob provide
different coding methods
descand -f <str-fld> [-fout <strs-out>]
- Remove Scandinavian alphabet from a field of strings. If <strs-out> is
specified, the data is copied into a new field
instext -dout <dataout> -text <str1> <str2> ... <strn>; [-sen]
- Code a string specified on the command line into a string field
loadtext -dout <dataout> -astxt <fldnum> -sep <asciinum> [-asis <fnums> -aout <as-is-out> -sen]
- Load a text file into a word data frame (and possibly store some document data, too)
pd2cld -d <prob-matr> -cout <cldata> [-avg <avg-len>]
- Convert any conditional probability matrix into a classification
prob2str -d <prob-matr> -fout <str-value> [-avg <avg-len>]
- Convert a conditional probability matrix into a string of characters
text3dprob -f <str-fld> -dout <prob-matr> [-aout <avg-fld>]
- Calculate a 3-D conditional probability matrix indicating how characters
follow each other within the words of a string field. Two previous characters
are taken into account
textprob -f <str-fld> -dout <prob-matr> [-aout <avg-fld>]
- Calculate conditional probability matrix indicating how characters follow
each other within the words of a string field
weight2str -d <codes> -fout <strs-out>
- Convert a default or -prob text training data or the weights of a
trained SOM into strings