Package | Description |
---|---|
org.openimaj.demos | |
org.openimaj.math.geometry.shape | |
org.openimaj.math.matrix.algorithm.pca | |
org.openimaj.ml.pca |
Modifier and Type | Method and Description |
---|---|
static PrincipalComponentAnalysis |
FVFWCheckPCAGMM.loadPCA(File f) |
Modifier and Type | Field and Description |
---|---|
protected PrincipalComponentAnalysis |
PointDistributionModel.pc |
Modifier and Type | Class and Description |
---|---|
class |
CovarPrincipalComponentAnalysis
Naive Principle Component Analysis performed by directly calculating
the covariance matrix and then performing an Eigen decomposition.
|
class |
SvdPrincipalComponentAnalysis
Compute the PCA using an SVD without actually constructing the covariance
matrix.
|
class |
ThinSvdPrincipalComponentAnalysis
Compute the PCA using a thin SVD to extract the best-n principal
components directly.
|
Modifier and Type | Method and Description |
---|---|
void |
PrincipalComponentAnalysis.ComponentSelector.select(PrincipalComponentAnalysis pca)
Select a subset of principal components, discarding the ones not
selected
|
void |
PrincipalComponentAnalysis.NumberComponentSelector.select(PrincipalComponentAnalysis pca) |
void |
PrincipalComponentAnalysis.EnergyThresholdComponentSelector.select(PrincipalComponentAnalysis pca) |
void |
PrincipalComponentAnalysis.PercentageEnergyComponentSelector.select(PrincipalComponentAnalysis pca) |
Modifier and Type | Class and Description |
---|---|
class |
FeatureVectorPCA
Principal Components Analysis wrapper for
FeatureVector s. |
Constructor and Description |
---|
FeatureVectorPCA(PrincipalComponentAnalysis inner)
Construct with the given
PrincipalComponentAnalysis object. |