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The Waikato Environment for Knowledge Analysis (WEKA), a machine learning workbench. This version represents the developer version, the "bleeding edge" of development, you could say. New functionality gets added to this version.

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         0
         69
         314
         ArffLoader
         
            
               weka/gui/beans/templates/iris.arff
               false
            
            
               true
               
            
         
      
      
         1
         391
         91
         EM
         
            
               
                  -I
                  100
                  -N
                  -1
                  -M
                  1.0E-6
                  -S
                  100
               
            
         
      
      
         2
         591
         91
         ClustererPerformanceEvaluator
         
            
            
               
               ClustererPerformanceEvaluator
               weka/gui/beans/icons/ClustererPerformanceEvaluator.gif
               weka/gui/beans/icons/ClustererPerformanceEvaluator_animated.gif
            
            ClustererPerformanceEvaluator
         
      
      
         3
         713
         194
         TextViewer
         
            
            
               true
               
            
            
               
               TextViewer
               weka/gui/beans/icons/DefaultText.gif
               weka/gui/beans/icons/DefaultText_animated.gif
            
            TextViewer
         
      
      
         4
         233
         194
         TrainTestSplitMaker
         
            1
            66.0
         
      
      
         5
         393
         314
         MakeDensityBasedClusterer
         
            
               
                  -M
                  1.0E-6
                  -W
                  weka.clusterers.SimpleKMeans
                  --
                  -N
                  3
                  -A
                  weka.core.EuclideanDistance -R first-last
                  -I
                  500
                  -S
                  10
               
            
         
      
      
         6
         593
         314
         ClustererPerformanceEvaluator
         
            
            
               
               ClustererPerformanceEvaluator
               weka/gui/beans/icons/ClustererPerformanceEvaluator.gif
               weka/gui/beans/icons/ClustererPerformanceEvaluator_animated.gif
            
            ClustererPerformanceEvaluator
         
      
      
         7
         64
         400
         
            Double click to 
configure with 
an ARFF dataset.
            
            -1
         
      
      
         8
         219
         289
         
            2/3 - 1/3 train-test
split. Double click
to change split
percentage.
            
            -1
         
      
      
         9
         418
         181
         
            EM clustering with
cross-validation to
choose the best
number of clusters.
            
            -1
         
      
      
         10
         385
         407
         
            Fits Gaussian distributions
to the clusters found by
k-means. Double click to
configure.
            
            -1
         
      
      
         11
         596
         395
         
            Computes evaluation
results.
            
            -1
         
      
      
         12
         714
         282
         
            Right click and
select "Show results"
            
            -1
         
      
      
         13
         69
         194
         Remove
         
            
               
                  -R
                  last
                  
               
            
         
      
      
         14
         85
         147
         
            Remove the class column
            
            -1
         
      
      
         15
         374
         27
         
            <html><b>NOTE: this flow is configured to run out of the box.</b> It loads an ARFF file as a resource from the classpath. If you want 
to use your own data, edit the ArffLoader.</html>
            
            -1
         
      
   
   
      
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         2
         batchClusterer
         false
      
      
         2
         3
         text
         false
      
      
         4
         1
         trainingSet
         false
      
      
         4
         1
         testSet
         false
      
      
         4
         5
         trainingSet
         false
      
      
         4
         5
         testSet
         false
      
      
         5
         6
         batchClusterer
         false
      
      
         6
         3
         text
         false
      
      
         0
         13
         dataSet
         false
      
      
         13
         4
         dataSet
         false