Uses of Class
de.lmu.ifi.dbs.elki.algorithm.outlier.AbstractAggarwalYuOutlier

Packages that use AbstractAggarwalYuOutlier
de.lmu.ifi.dbs.elki.algorithm.outlier Outlier detection algorithms 
 

Uses of AbstractAggarwalYuOutlier in de.lmu.ifi.dbs.elki.algorithm.outlier
 

Subclasses of AbstractAggarwalYuOutlier in de.lmu.ifi.dbs.elki.algorithm.outlier
 class 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.
 


Release 0.4.0 (2011-09-20_1324)