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public interface PCA
A PCA is a principal component analysis that belongs to an object stored in a database. The PCA determines the principal components of the object and holds the eigenvectors and eigenvalues of the object.
Method Summary | |
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double[] |
getEigenvalues()
Returns a copy of the eigenvalues of the object to which this PCA belongs to in decreasing order. |
Matrix |
getEigenvectors()
Returns a copy of the matrix of eigenvectors of the object to which this PCA belongs to. |
double[] |
getStrongEigenvalues()
Returns a copy of the strong eigenvalues of the object after passing the eigen pair filter. |
Matrix |
getStrongEigenvectors()
Returns a copy of the matrix of strong eigenvectors after passing the eigen pair filter. |
double[] |
getWeakEigenvalues()
Returns a copy of the weak eigenvalues of the object after passing the eigen pair filter. |
Matrix |
getWeakEigenvectors()
Returns a copy of the matrix of weak eigenvectors after passing the eigen pair filter. |
Methods inherited from interface de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameterizable |
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checkGlobalParameterConstraints, description, getAttributeSettings, getParameters, getPossibleOptions, inlineDescription, setParameters |
Method Detail |
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Matrix getEigenvectors()
double[] getEigenvalues()
Matrix getStrongEigenvectors()
double[] getStrongEigenvalues()
Matrix getWeakEigenvectors()
double[] getWeakEigenvalues()
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