Packages

trait Reducer extends AnyRef

The Reducer trait provides a common framework for several data reduction algorithms.

Linear Supertypes
AnyRef, Any
Known Subclasses
CanCorrelation, NMFactorization, PrincipalComponents, PrincipalComponents_F
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Abstract Value Members

  1. abstract def recover(): MatriD

    Approximately recover the original matrix.

    Approximately recover the original matrix. The new matrix will have the same dimensionality, but will have some lose of information.

  2. abstract def reduce(): MatriD

    Reduce the original data matrix by producing a lower dimensionality matrix that maintains most of the descriptive power of the original matrix.

Concrete Value Members

  1. def factorReduce(): (MatriD, MatriD)

    Reduce the original data matrix by factoring it into two lower dimensionality matrices that maintains most of the descriptive power of the original matrix.

    Reduce the original data matrix by factoring it into two lower dimensionality matrices that maintains most of the descriptive power of the original matrix. Override to algorithms that use factoring.

    See also

    NMFactortorization