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Popular pages
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Orange Data Mining
Orange Data Mining Toolbox
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Orange Documentation — Orange Documentation v2.7.8
This is documentation for Orange 2.7. For the latest documentation, see Orange 3[1]. ...
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Classification — Orange Documentation v2.7.8
Much of Orange is devoted to machine learning methods for classification, or supervised data mining. These methods rely on the data with class-labeled instances, like that of senate voting. Here is a ...
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Multi-label classification (multilabel) — Orange Documentation v2.7.8
Orange.multilabel.multiknn.MultikNNLearner Class implementing the ML-kNN (Multi-Label k Nearest Neighbours) algorithm. The class is based on the pseudo-code made available by the authors. The pseudo c...
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Index — Orange Documentation v2.7.8
__call__() (ClassifierFromVar method)[1] (Orange.associate.AssociationRulesInducer method)[2] (Orange.associate.AssociationRulesSparseInducer method)[3] ...
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Clustering (clustering) — Orange Documentation v2.7.8
Orange offers three clustering methods: k-means clustering, hierarchical clustering with different link functions, and consensus clustering, which is still much under development.