Package unifeat.featureSelection.filter.unsupervised

package unifeat.featureSelection.filter.unsupervised
  • Classes
    Class
    Description
    IRRFSACO_1
    This java class is used to implement the incremental relevance-redundancy feature selection based on ant colony optimization, version1 (IRRFSACO_1) method.
    IRRFSACO_2
    This java class is used to implement the incremental relevance–redundancy feature selection based on ant colony optimization, version2 (IRRFSACO_2) method.
    LaplacianScore
    This java class is used to implement the Laplacian score method.
    MGSACO
    This java class is used to implement the microarray gene selection based on ant colony optimization (MGSACO) method.
    MutualCorrelation
    This java class is used to implement the mutual correlation method.
    RRFS
    This java class is used to implement the relevance-redundancy feature selection(RRFS) method.
    RRFSACO_1
    This java class is used to implement the relevance–redundancy feature selection based on ant colony optimization, version1 (RRFSACO_1) method.
    RRFSACO_2
    This java class is used to implement the relevance–redundancy feature selection based on ant colony optimization, version2 (RRFSACO_2) method.
    RSM
    This java class is used to implement the random subspace method(RSM) method.
    TermVariance
    This java class is used to implement the term variance method.
    UFSACO
    This java class is used to implement the unsupervised feature selection based on ant colony optimization (UFSACO) method.
    UnsupervisedFilterType
    This java class is used to define the names of unsupervised filter-based feature selection methods.