- ChiSquareDistribution - Class in Assisted_Classes
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This class will aid some of the underlying classes in this library and
it is taken from Apache commons Math 3.0 with some minor changes
that mostly have to do with copying only the parts that are fundamental
for the algorithms to run.
- ChiSquareDistribution() - Constructor for class Assisted_Classes.ChiSquareDistribution
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- Classify(double[][]) - Method in class Cluster.Naive_Bayes_classifier
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This method will classify the given set based on the categories
- clear() - Method in class Assisted_Classes.DescriptiveStatistics
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Empties the contents of the DescriptiveStatistics arraylist
- Cluster - package Cluster
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- Comparators - Class in Assisted_Classes
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This class is meant to be used for sorting a 2 dimensional String array based on a given column of the array.
- Comparators(int) - Constructor for class Assisted_Classes.Comparators
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- compare(Object, Object) - Method in class Assisted_Classes.Comparators
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This methods overriding compare method
- componize(double[][]) - Method in class Cluster.pca_analysis
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This is the main method of the class that perfoms the PCA analysis
- create2dmatrxi(double[][]) - Method in class Matrix.TwoDmatrix
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Feed data to the matrix
- create2dmatrxisingle(double[]) - Method in class Matrix.TwoDmatrix
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Feed data to the matrix from a single double array
- Create_Logic(double[][], String[]) - Method in class Cluster.Naive_Bayes_classifier
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This is the main method of this class that will create the logic that will be
used for the classification of the distinct classes of the Target.
- CreateKClusters(double[][], int, int, double) - Method in class Cluster.KMeansCluster
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