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Packages that use DataMiningModel | |
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net.sf.jdmf.algorithms | |
net.sf.jdmf.algorithms.association | |
net.sf.jdmf.algorithms.classification | |
net.sf.jdmf.algorithms.clustering | |
net.sf.jdmf.data.output.clustering |
Uses of DataMiningModel in net.sf.jdmf.algorithms |
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Methods in net.sf.jdmf.algorithms that return DataMiningModel | |
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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 DataMiningModel in net.sf.jdmf.algorithms.association |
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Methods in net.sf.jdmf.algorithms.association that return DataMiningModel | |
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DataMiningModel |
AprioriAlgorithm.analyze(InputData inputData)
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Uses of DataMiningModel in net.sf.jdmf.algorithms.classification |
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Methods in net.sf.jdmf.algorithms.classification that return DataMiningModel | |
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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 DataMiningModel in net.sf.jdmf.algorithms.clustering |
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Methods in net.sf.jdmf.algorithms.clustering that return DataMiningModel | |
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DataMiningModel |
KMeansAlgorithm.analyze(InputData inputData)
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Uses of DataMiningModel in net.sf.jdmf.data.output.clustering |
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Subclasses of DataMiningModel in net.sf.jdmf.data.output.clustering | |
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class |
ClusteringDataMiningModel
Defines a data mining model specific to clustering algorithms. |
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