Package unifeat.featureSelection.filter.supervised

package unifeat.featureSelection.filter.supervised
  • Classes
    Class
    Description
    FisherScore
    This java class is used to implement the Fisher score method.
    GainRatio
    This java class is used to implement the gain ratio method.
    GiniIndex
    This java class is used to implement the Gini index method.
    InformationGain
    This java class is used to implement the information gain method.
    LaplacianScore
    This java class is used to implement the Laplacian score method.
    MRMR
    This java class is used to implement the minimal redundancy maximal relevance (mRMR) method.
    RRFS
    This java class is used to implement the relevance-redundancy feature selection(RRFS) method.
    SupervisedFilterType
    This java class is used to define the names of supervised filter-based feature selection methods.
    SymmetricalUncertainty
    This java class is used to implement the symmetrical uncertainty method.