The software is packaged as a Java jar file, which means that is can be run from the commandline with the following command
java -jar clustertool.jar
This will bring up the application in normal interactive mode. In this case the data should be loaded with the file->open menu and then the desired parameters set up within the GUI before running a fit with the tools->clustering menu.
The application can be run to completion without using the interactive GUI, but rather specifying all of the model parameters on the commandline as shown below.
java -jar clustertool.jar --nogui [options] data_file_name --nogui do not run the gui, but process a file directly as specified by other arguments -t <d> set the fitting tolerance -o include outliers -m use minimum message length methods to determine number of clusters -c <i> number of continuous variables -e <i> number of continuous variables with errors -b <i> number of binary variables -d <i> number of modal variables -i <i> number of integer variables -n <i> number of iterations to use -x <i> number of clusters -v common|diagonal|free type of covariance to use
The results will be written out to a VOTable format file "results.vot". The results consist of the original data with the columns appended which contain the probability that each data point is a member of the particular cluster.