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Methods
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__init__
copy
createClusteringCommandLine
create_clustering_command_line
getLabeling
getModel
run
validate
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__init__
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__init__ (
self,
dataset=None,
parameters=None,
)
KMeans(dataset, parameters)
Creates a new KMeans algorithm with the given dataset and
algorithm parameters. To run, use the run() method.
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copy
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copy ( self )
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createClusteringCommandLine
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createClusteringCommandLine ( self )
commandLine = createClusteringCommandLine()
Returns the command-line used to run the KMeans.
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create_clustering_command_line
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create_clustering_command_line ( self )
command_line = create_clustering_command_line()
DEPRECATED. Use createClusteringCommandLine() instead.
Returns the command-line used to run the KMeans.
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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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run
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run ( self )
status = run()
Runs the KMeans algorithm. Sets self.model and self.labeling that
resulted from the run, returns a status token
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validate
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validate ( self )
validate()
Returns 1 if all parameters and environment variables nescessary
to run kmeans are defined, 0 otherwise.
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