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C

ChiSquareDistribution - Class in Assisted_Classes
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
 
Classify(double[][]) - Method in class Cluster.Naive_Bayes_classifier
This method will classify the given set based on the categories
clear() - Method in class Assisted_Classes.DescriptiveStatistics
Empties the contents of the DescriptiveStatistics arraylist
Cluster - package Cluster
 
Comparators - Class in Assisted_Classes
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
 
compare(Object, Object) - Method in class Assisted_Classes.Comparators
This methods overriding compare method
componize(double[][]) - Method in class Cluster.pca_analysis
This is the main method of the class that perfoms the PCA analysis
create2dmatrxi(double[][]) - Method in class Matrix.TwoDmatrix
Feed data to the matrix
create2dmatrxisingle(double[]) - Method in class Matrix.TwoDmatrix
Feed data to the matrix from a single double array
Create_Logic(double[][], String[]) - Method in class Cluster.Naive_Bayes_classifier
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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