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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
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