Statements (26)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
dimensionality reduction technique
|
| gptkbp:application |
gptkb:data_visualization
pattern recognition denoising feature extraction preprocessing |
| gptkbp:basedOn |
gptkb:principal_component_analysis
|
| gptkbp:commonKernels |
polynomial kernel
sigmoid kernel Gaussian kernel |
| gptkbp:field |
gptkb:machine_learning
statistics |
| gptkbp:fullName |
kernel principal component analysis
|
| gptkbp:handles |
nonlinear data
|
| https://www.w3.org/2000/01/rdf-schema#label |
kernel PCA
|
| gptkbp:introduced |
gptkb:Bernhard_Schölkopf
|
| gptkbp:introducedIn |
1997
|
| gptkbp:limitation |
computationally expensive for large datasets
requires kernel matrix computation |
| gptkbp:output |
principal components in feature space
|
| gptkbp:relatedTo |
support vector machine
multidimensional scaling linear PCA |
| gptkbp:uses |
kernel trick
|
| gptkbp:bfsParent |
gptkb:principal_component_analysis
|
| gptkbp:bfsLayer |
5
|