- getCapabilities() - Method in class weka.filters.unsupervised.instance.ENN
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Returns the Capabilities of this filter.
- getDistances() - Method in class weka.filters.unsupervised.instance.ENN.LinearNNSearchENN
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Returns the distances of the k nearest neighbours.
- getKNeighborsFactor() - Method in class weka.filters.unsupervised.instance.ENN
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Gets the factor of nearest neighbors for each minority class sample
- getNearestInstances() - Method in class weka.filters.unsupervised.instance.ENN.LinearNNSearchENN
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Returns the indexes of the k nearest neighbours.
- getOptions() - Method in class weka.filters.unsupervised.instance.ENN
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Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.instance.ENN.LinearNNSearchENN
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Gets the current settings.
- getRandomSeed() - Method in class weka.filters.unsupervised.instance.ENN
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Gets the random number seed.
- getRevision() - Method in class weka.filters.unsupervised.instance.ENN.LinearNNSearchENN
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- getSkipDifferentClass() - Method in class weka.filters.unsupervised.instance.ENN.LinearNNSearchENN
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Gets whether to skip instancies from the neighbours that are of different class
- getSkipIdentical() - Method in class weka.filters.unsupervised.instance.ENN.LinearNNSearchENN
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Gets whether if identical instances are skipped from the neighbourhood.
- globalInfo() - Method in class weka.filters.unsupervised.instance.ENN
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Returns a string describing this classifier
- globalInfo() - Method in class weka.filters.unsupervised.instance.ENN.LinearNNSearchENN
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Returns a string describing this nearest neighbour search algorithm.