B C G H L N O S T W 

B

buildClusterer(Instances) - Method in class weka.clusterers.SelfOrganizingMap
Generates a clusterer.

C

calcStatsTipText() - Method in class weka.clusterers.SelfOrganizingMap
 
clusterInstance(Instance) - Method in class weka.clusterers.SelfOrganizingMap
Classifies a given instance.
convergenceEpochsTipText() - Method in class weka.clusterers.SelfOrganizingMap
 

G

getCalcStats() - Method in class weka.clusterers.SelfOrganizingMap
 
getCapabilities() - Method in class weka.clusterers.SelfOrganizingMap
Returns default capabilities of the classifier.
getClusterInstances() - Method in class weka.clusterers.SelfOrganizingMap
This function returns the cluster assignment for each of the training instances.
getClusters() - Method in class weka.clusterers.SelfOrganizingMap
This function returns the clusters if the clusterer is build or an exception if the clusterer is not build.
getConvergenceEpochs() - Method in class weka.clusterers.SelfOrganizingMap
 
getHeight() - Method in class weka.clusterers.SelfOrganizingMap
 
getLearningRate() - Method in class weka.clusterers.SelfOrganizingMap
 
getNormalizeAttributes() - Method in class weka.clusterers.SelfOrganizingMap
 
getOptions() - Method in class weka.clusterers.SelfOrganizingMap
Gets the current settings of NeuralNet.
getOrderingEpochs() - Method in class weka.clusterers.SelfOrganizingMap
 
getRevision() - Method in class weka.clusterers.SelfOrganizingMap
Returns the revision string.
getStatistics() - Method in class weka.clusterers.SelfOrganizingMap
This function returns the training statistics in a 3-dimension array as follows:
First dimension: the attribute index
Second dimension: the cluster index
Third dimension: the static index (Valid values are 0: min, 1: max, 2: mean, 3: st.
getWidth() - Method in class weka.clusterers.SelfOrganizingMap
 
globalInfo() - Method in class weka.clusterers.SelfOrganizingMap
This will return a string describing the clusterer.

H

heightTipText() - Method in class weka.clusterers.SelfOrganizingMap
 

L

learningRateTipText() - Method in class weka.clusterers.SelfOrganizingMap
 
listOptions() - Method in class weka.clusterers.SelfOrganizingMap
Returns an enumeration describing the available options.

N

normalizeAttributesTipText() - Method in class weka.clusterers.SelfOrganizingMap
 
numberOfClusters() - Method in class weka.clusterers.SelfOrganizingMap
Returns the number of clusters.

O

orderingEpochsTipText() - Method in class weka.clusterers.SelfOrganizingMap
 

S

SelfOrganizingMap - Class in weka.clusterers
A Clusterer that implements Kohonen's Self-Organizing Map algorithm for unsupervised clustering.
SelfOrganizingMap() - Constructor for class weka.clusterers.SelfOrganizingMap
The constructor.
setCalcStats(boolean) - Method in class weka.clusterers.SelfOrganizingMap
 
setConvergenceEpochs(int) - Method in class weka.clusterers.SelfOrganizingMap
Set the number of epochs in convergence phase.
setHeight(int) - Method in class weka.clusterers.SelfOrganizingMap
Sets the height of lattice.
setLearningRate(double) - Method in class weka.clusterers.SelfOrganizingMap
The initial learning rate can be set using this command.
setNormalizeAttributes(boolean) - Method in class weka.clusterers.SelfOrganizingMap
 
setOptions(String[]) - Method in class weka.clusterers.SelfOrganizingMap
Parses a given list of options.
setOrderingEpochs(int) - Method in class weka.clusterers.SelfOrganizingMap
Set the number of epochs in ordering phase.
setWidth(int) - Method in class weka.clusterers.SelfOrganizingMap
Sets the width of lattice.

T

toString() - Method in class weka.clusterers.SelfOrganizingMap
return a string describing this clusterer.

W

weka.clusterers - package weka.clusterers
 
widthTipText() - Method in class weka.clusterers.SelfOrganizingMap
 
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