A B C D E F G I K L M N P R S T V 

P

pca_analysis - Class in Cluster
Principal Components analysis is process where a set of numerical variables is broken down to another set of equal or less variables in a way that the total co-variance within the principal set is "explained" from the new set .
pca_analysis() - Constructor for class Cluster.pca_analysis
 
Pearson_Correlation - Class in Assisted_Classes
This class will have classes that compute Pearson's correlation between 2 double arrays and the correlation matrix of a double array [][].
Pearson_Correlation() - Constructor for class Assisted_Classes.Pearson_Correlation
 
performLU(double[][]) - Method in class Matrix.Inverse_Square_Matrix
This method performs LU decomposition which is fundamental for the calculation of the inverse of a square matrix.
performLUmatrix(TwoDmatrix) - Method in class Matrix.Inverse_Square_Matrix
 
performLUmatrix(double[][]) - Method in class Matrix.Inverse_Square_Matrix
 
predicted_values - Variable in class models.Discriminant_Analysis
 
A B C D E F G I K L M N P R S T V