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Packages that use AbstractAggarwalYuOutlier | |
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de.lmu.ifi.dbs.elki.algorithm.outlier | Outlier detection algorithms |
Uses of AbstractAggarwalYuOutlier in de.lmu.ifi.dbs.elki.algorithm.outlier |
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Subclasses of AbstractAggarwalYuOutlier in de.lmu.ifi.dbs.elki.algorithm.outlier | |
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AggarwalYuEvolutionary<V extends NumberVector<?,?>>
EAFOD provides the evolutionary outlier detection algorithm, an algorithm to detect outliers for high dimensional data. |
class |
AggarwalYuNaive<V extends NumberVector<?,?>>
BruteForce provides a naive brute force algorithm in which all k-subsets of dimensions are examined and calculates the sparsity coefficient to find outliers. |
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