Package jline.api.measures

Class Ms_nviKt

  • All Implemented Interfaces:
    
public final class Ms_nviKt

    • Nested Class Summary

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      Modifier and Type Class Description

    • Field Summary

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    • Constructor Summary

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    • Enum Constant Summary

      Enum Constants 
      Enum Constant Description

    • Method Summary

      Modifier and Type Method Description
      final static Double ms_nvi(Matrix x, Matrix y) Compute normalized variation information z=(1-I(x,y)/H(x,y)) of two discrete variables x and y.

      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    • Constructor Detail

    • Method Detail

      • ms_nvi

         final static Double ms_nvi(Matrix x, Matrix y)

        Compute normalized variation information z=(1-I(x,y)/H(x,y)) of two discrete variables x and y.

        Parameters:
        x - first matrix
        y - second matrix of the same length
        Returns:

        normalized variation information z=(1-I(x,y)/H(x,y))