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Uses of InputData in net.sf.jdmf.algorithms |
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Methods in net.sf.jdmf.algorithms with parameters of type InputData | |
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DataMiningModel |
DataMiningAlgorithm.analyze(InputData inputData)
Analyzes input data (attributes and decisions) and produces output data (rules, decision trees, clusters, ...). |
Uses of InputData in net.sf.jdmf.algorithms.association |
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Methods in net.sf.jdmf.algorithms.association with parameters of type InputData | |
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DataMiningModel |
AprioriAlgorithm.analyze(InputData inputData)
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Uses of InputData in net.sf.jdmf.algorithms.classification |
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Methods in net.sf.jdmf.algorithms.classification with parameters of type InputData | |
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DataMiningModel |
PRISMAlgorithm.analyze(InputData inputData)
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DataMiningModel |
OneRuleAlgorithm.analyze(InputData inputData)
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DataMiningModel |
BayesAlgorithm.analyze(InputData inputData)
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Uses of InputData in net.sf.jdmf.algorithms.clustering |
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Methods in net.sf.jdmf.algorithms.clustering with parameters of type InputData | |
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DataMiningModel |
KMeansAlgorithm.analyze(InputData inputData)
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Uses of InputData in net.sf.jdmf.data.input |
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Methods in net.sf.jdmf.data.input that return InputData | |
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InputData |
InputDataBuilder.build(DataSource dataSource)
Builds the input data using a particular data source. |
Uses of InputData in net.sf.jdmf.data.input.clustering |
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Subclasses of InputData in net.sf.jdmf.data.input.clustering | |
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class |
ClusteringInputData
Input data with additional information required for clustering. |
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