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Methods
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__execute
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__execute ( self )
__execute(self)
Builds and executed the clustering algorithm
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__init__
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__init__ (
self,
dataset=None,
parameters=None,
)
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__removeDir
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__removeDir ( self, dir )
__removeDir(dir)
Removes all the files in a directory and the directory itself
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checkKStrict
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checkKStrict ( self, labeling )
checkKStrict()
Ensured that the number of clusters returned by the algorithm actually
matched the number we want. Return true if desired k is the returned
k.
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copy
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copy ( self )
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createClusteringCommandLine
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createClusteringCommandLine ( self )
commandLine = createClusteringCommandLine()
Construct the command line needed to run the DIAGEM command on the
current dataset.
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createClusteringInputFile
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createClusteringInputFile ( self )
createClusteringInputFile()
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createModel
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createModel ( self )
createModel()
Read the model parameters files into a set of Numeric arrays and create
a Mixture of Diagonal Gaussians model from it. Also read in the internal
data used by the algorithm so fitness comparisons are valid.
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getLabeling
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getLabeling ( self )
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getModel
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getModel ( self )
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getTransformedDataset
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getTransformedDataset ( self, dataset )
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readDiagemOutput
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readDiagemOutput ( self, file )
Numeric.array = readDiagemOutput(file)
Reads in an output file produced by DiagEM and returns the numeric
valus in a Numeric array. Patterned after the __castDataset() method in
mlx.Dataset, but special cased
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run
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run ( self )
run()
Prepares the inputs to the clustering algorithm (DiagEM) and runs it.
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validate
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validate ( self )
validate()
Ensures that all parameters and environment variables nescessary
to run the clustering algorithm (DiagEM) are defined.
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