Package net.sourceforge.jiu.color.data

Class BaseCoOccurrenceFrequencyMatrix

java.lang.Object
net.sourceforge.jiu.color.data.BaseCoOccurrenceFrequencyMatrix
All Implemented Interfaces:
CoOccurrenceFrequencyMatrix
Direct Known Subclasses:
MemoryCoOccurrenceFrequencyMatrix
public abstract class BaseCoOccurrenceFrequencyMatrix extends Object implements CoOccurrenceFrequencyMatrix
This abstract class encapsulates all data of a co-occurrence frequency matrix except for the frequency values. The method computeStatistics is implemented. Any class extending this class only has to deal with storing the frequency values (MemoryCoOccurrenceFrequencyMatrix does this by using a one-dimensional array internally).
Author:
Marco Schmidt

  • Field Details

    • cofMean

      private double[] cofMean
      co-occurrence frequency mean $\mu_{C(j)}$

    • cofStddev

      private double[] cofStddev
      co-occurrence frequency standard deviation $\sigma_{C(j)}$

    • scofMean

      private double scofMean
      self co-occurrence frequency mean $\mu_S$

    • scofStddev

      private double scofStddev
      self co-occurrence frequency standard deviation $\sigma_S$

    • scofSum

      private double scofSum
      equals scofMean + scofStddev

  • Constructor Details

    • BaseCoOccurrenceFrequencyMatrix

      public BaseCoOccurrenceFrequencyMatrix()

  • Method Details

    • computeCoOccurrenceFrequencyMeanValues

      private void computeCoOccurrenceFrequencyMeanValues()

    • computeCoOccurrenceFrequencyStandardDeviationValues

      private void computeCoOccurrenceFrequencyStandardDeviationValues()

    • computeSelfCoOccurrenceFrequencyMeanValue

      private void computeSelfCoOccurrenceFrequencyMeanValue()

    • computeSelfCoOccurrenceFrequencyStandardDeviationValue

      private void computeSelfCoOccurrenceFrequencyStandardDeviationValue()

    • computeStatistics

      public void computeStatistics()
      Assumes that the co-occurrence frequency values have been initialized. Computes mean and standard deviation for co-occurrence and self co-occurrence frequency values.
      Specified by:
      computeStatistics in interface CoOccurrenceFrequencyMatrix

    • getMean

      public double getMean(int index)
      Returns the mean of the co-occurrence frequency values.
      Specified by:
      getMean in interface CoOccurrenceFrequencyMatrix

    • getStddev

      public double getStddev(int index)
      Description copied from interface: CoOccurrenceFrequencyMatrix
      Returns the standard deviation of the values getValue(index, i) with i running from 0 to CoOccurrenceFrequencyMatrix.getDimension() - 1.
      Specified by:
      getStddev in interface CoOccurrenceFrequencyMatrix
      Parameters:
      index - first argument to all calls of getValue used to determine the standard deviation

    • getScofMean

      public double getScofMean()
      Returns the mean of all self co-occurrence frequency values. This value is called $\mu_S$ in Shufelt's paper. This value is determined once within computeStatistics().
      Specified by:
      getScofMean in interface CoOccurrenceFrequencyMatrix

    • getScofStddev

      public double getScofStddev()
      Returns the standard deviation of all self co-occurrence frequency values. This value is called $\sigma_S$ in Shufelt's paper. This value is determined once within a call to computeStatistics().
      Specified by:
      getScofStddev in interface CoOccurrenceFrequencyMatrix
      Returns:
      standard deviation for pairs

    • getScofSum

      public double getScofSum()
      Return the sum of mean and standard deviation of the self co-occurrence frequency values. Assumes that computeStatistics() has been called already.
      Specified by:
      getScofSum in interface CoOccurrenceFrequencyMatrix
      Returns:
      sum of mean and standard deviation of the self co-occurrence frequency values