public class PCA extends Object
| Constructor and Description |
|---|
PCA() |
| Modifier and Type | Method and Description |
|---|---|
static Jama.EigenvalueDecomposition |
eigenValueDecomposition(double[][] data) |
void |
eigenValueDecomposition(double[][] data,
int numPCAs) |
double[][] |
getDataMatrixPCScores(double[][] dataMatrix,
int size,
int sampleCount) |
static double |
getEigenValueVar(double[] eigenValues,
int pca) |
static double[] |
getEigenVector(Jama.EigenvalueDecomposition eig,
double[] eigenValues,
int pca) |
static double[] |
getEigenVector(Jama.EigenvalueDecomposition eig,
int pca) |
static double[] |
getEigenVectorSVD(Jama.SingularValueDecomposition svd,
double[] singularValues,
int pca) |
double[] |
getRealEigenvalues() |
static double[] |
getRealEigenvalues(Jama.EigenvalueDecomposition eig) |
void |
PCA() |
public void PCA()
public static Jama.EigenvalueDecomposition eigenValueDecomposition(double[][] data)
public static double[] getRealEigenvalues(Jama.EigenvalueDecomposition eig)
public static double[] getEigenVector(Jama.EigenvalueDecomposition eig,
double[] eigenValues,
int pca)
public static double[] getEigenVector(Jama.EigenvalueDecomposition eig,
int pca)
public static double getEigenValueVar(double[] eigenValues,
int pca)
public static double[] getEigenVectorSVD(Jama.SingularValueDecomposition svd,
double[] singularValues,
int pca)
public void eigenValueDecomposition(double[][] data,
int numPCAs)
public double[][] getDataMatrixPCScores(double[][] dataMatrix,
int size,
int sampleCount)
public double[] getRealEigenvalues()
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