Is there any way to specify the options for the weka clusterers through the WekaClusterer Class in JML?
For example the XMeans Weka class has all these options:
Valid options are: -I <num>
maximum number of overall iterations
(default 1). -M <num>
maximum number of iterations in the kMeans loop in
the Improve-Parameter part
(default 1000). -J <num>
maximum number of iterations in the kMeans loop
for the splitted centroids in the Improve-Structure part
(default 1000). -L <num>
minimum number of clusters
(default 2). -H <num>
maximum number of clusters
(default 4). -B <value>
distance value for binary attributes
(default 1.0). -use-kdtree
Uses the KDTree internally
(default no). -K <KDTree class specification>
Full class name of KDTree class to use, followed
by scheme options.
eg: "weka.core.neighboursearch.kdtrees.KDTree -P"
(default no KDTree class used). -C <value>
cutoff factor, takes the given percentage of the splitted
centroids if none of the children win
(default 0.0). -D <distance function class specification>
Full class name of Distance function class to use, followed
by scheme options.
(default weka.core.EuclideanDistance). -N <file name>
file to read starting centers from (ARFF format). -O <file name>
file to write centers to (ARFF format). -U <int>
The debug level.
(default 0) -Y <file name>
The debug vectors file. -S <num>
Random number seed.
(default 10)However in the tutorial there isn't a way to specify these options.I would really appreciate any help in this matter.
Luis Guzman |
