B C G L M S T W

B

buildClassifier(Instances) - Method in class weka.classifiers.meta.ClassificationViaClustering
builds the classifier

C

ClassificationViaClustering - Class in weka.classifiers.meta
A simple meta-classifier that uses a clusterer for classification.
ClassificationViaClustering() - Constructor for class weka.classifiers.meta.ClassificationViaClustering
default constructor
classifyInstance(Instance) - Method in class weka.classifiers.meta.ClassificationViaClustering
Classifies the given test instance.
clustererTipText() - Method in class weka.classifiers.meta.ClassificationViaClustering
Returns the tip text for this property

G

getCapabilities() - Method in class weka.classifiers.meta.ClassificationViaClustering
Returns default capabilities of the classifier.
getClusterer() - Method in class weka.classifiers.meta.ClassificationViaClustering
Get the clusterer used as the base learner.
getOptions() - Method in class weka.classifiers.meta.ClassificationViaClustering
returns the options of the current setup
getRevision() - Method in class weka.classifiers.meta.ClassificationViaClustering
Returns the revision string.
globalInfo() - Method in class weka.classifiers.meta.ClassificationViaClustering
Returns a string describing classifier

L

listOptions() - Method in class weka.classifiers.meta.ClassificationViaClustering
Gets an enumeration describing the available options.

M

main(String[]) - Static method in class weka.classifiers.meta.ClassificationViaClustering
Runs the classifier with the given options

S

setClusterer(Clusterer) - Method in class weka.classifiers.meta.ClassificationViaClustering
Set the base clusterer.
setOptions(String[]) - Method in class weka.classifiers.meta.ClassificationViaClustering
Parses the options for this object.

T

toString() - Method in class weka.classifiers.meta.ClassificationViaClustering
Returns a string representation of the classifier.

W

weka.classifiers.meta - package weka.classifiers.meta
 

B C G L M S T W