Accord.NET Framework

## KernelPrincipalComponentAnalysis Properties |

The KernelPrincipalComponentAnalysis type exposes the following members.

Properties

Name | Description | |
---|---|---|

AllowReversion |
Gets or sets a boolean value indicating whether this analysis
should store enough information to allow the reversion of the
transformation to be computed. Set this to no in case you would
like to store the analysis object to disk and you do not need to
reverse a transformation after it has been computed.
| |

Center |
Gets or sets whether the points should be centered in feature space.
| |

ComponentMatrix | Obsolete.
Gets a matrix whose columns contain the principal components. Also known as the Eigenvectors or loadings matrix.
(Inherited from BasePrincipalComponentAnalysis.) | |

ComponentProportions |
The respective role each component plays in the data set.
(Inherited from BasePrincipalComponentAnalysis.) | |

Components |
Gets the Principal Components in a object-oriented structure.
(Inherited from BasePrincipalComponentAnalysis.) | |

ComponentVectors |
Gets a matrix whose columns contain the principal components. Also known as the Eigenvectors or loadings matrix.
(Inherited from BasePrincipalComponentAnalysis.) | |

CumulativeProportions |
The cumulative distribution of the components proportion role. Also known
as the cumulative energy of the principal components.
(Inherited from BasePrincipalComponentAnalysis.) | |

Eigenvalues |
Provides access to the Eigenvalues stored during the analysis.
(Inherited from BasePrincipalComponentAnalysis.) | |

ExplainedVariance |
Gets or sets the amount of explained variance that should be generated
by this model. This value will alter the NumberOfOutputs
that can be generated by this model.
(Inherited from BasePrincipalComponentAnalysis.) | |

Kernel |
Gets or sets the Kernel used in the analysis.
| |

MaximumNumberOfOutputs |
Gets the maximum number of outputs (dimensionality of the output vectors)
that can be generated by this model.
(Inherited from BasePrincipalComponentAnalysis.) | |

Means |
Gets the column mean of the source data given at method construction.
(Inherited from BasePrincipalComponentAnalysis.) | |

Method |
Gets or sets the method used by this analysis.
(Inherited from BasePrincipalComponentAnalysis.) | |

NumberOfInputs |
Gets the number of inputs accepted by the model.
(Inherited from TransformBaseTInput, TOutput.) | |

NumberOfOutputs |
Gets or sets the number of outputs (dimensionality of the output vectors)
that should be generated by this model.
(Inherited from BasePrincipalComponentAnalysis.) | |

Overwrite |
Gets or sets whether calculations will be performed overwriting
data in the original source matrix, using less memory.
(Inherited from BasePrincipalComponentAnalysis.) | |

Result | Obsolete.
Gets the resulting projection of the source
data given on the creation of the analysis
into the space spawned by principal components.
(Inherited from BasePrincipalComponentAnalysis.) | |

SingularValues |
Provides access to the Singular Values stored during the analysis.
If a covariance method is chosen, then it will contain an empty vector.
(Inherited from BasePrincipalComponentAnalysis.) | |

Source | Obsolete.
Returns the original data supplied to the analysis.
(Inherited from BasePrincipalComponentAnalysis.) | |

StandardDeviations |
Gets the column standard deviations of the source data given at method construction.
(Inherited from BasePrincipalComponentAnalysis.) | |

Threshold | Obsolete.
Gets or sets the minimum variance proportion needed to keep a
principal component. If set to zero, all components will be
kept. Default is 0.001 (all components which contribute less
than 0.001 to the variance in the data will be discarded).
| |

Token |
Gets or sets a cancellation token that can be used
to cancel the algorithm while it is running.
(Inherited from BasePrincipalComponentAnalysis.) | |

Whiten |
Gets or sets whether the transformation result should be whitened
(have unit standard deviation) before it is returned.
(Inherited from BasePrincipalComponentAnalysis.) |

See Also