Accord.NET Framework

## GaussianMixtureModel Methods |

The GaussianMixtureModel type exposes the following members.

Methods

Name | Description | |
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Compute(Double) | Obsolete.
Divides the input data into K clusters modeling each
cluster as a multivariate Gaussian distribution.
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Compute(Double, GaussianMixtureModelOptions) | Obsolete.
Divides the input data into K clusters modeling each
cluster as a multivariate Gaussian distribution.
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Compute(Double, Double) | Obsolete.
Divides the input data into K clusters modeling each
cluster as a multivariate Gaussian distribution.
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Compute(Double, Double) | Obsolete. | |

Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) | |

Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) | |

GetHashCode | Serves as the default hash function. (Inherited from Object.) | |

GetType | Gets the Type of the current instance. (Inherited from Object.) | |

Initialize(KMeans) |
Initializes the model with initial values obtained
through a run of the K-Means clustering algorithm.
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Initialize(MixtureNormalDistribution) |
Initializes the model with initial values.
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Initialize(MultivariateMixtureMultivariateNormalDistribution) |
Initializes the model with initial values.
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Initialize(MultivariateNormalDistribution) |
Initializes the model with initial values.
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Initialize(NormalDistribution) |
Initializes the model with initial values.
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Initialize(Double, MultivariateNormalDistribution) |
Initializes the model with initial values.
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Initialize(Double, NormalDistribution) |
Initializes the model with initial values.
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Initialize(Double, Double) |
Initializes the model with initial values obtained
through a run of the K-Means clustering algorithm.
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Learn |
Learns a model that can map the given inputs to the desired outputs.
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MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) | |

ToMixtureDistribution |
Gets a copy of the mixture distribution modeled by this Gaussian Mixture Model.
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ToString | Returns a string that represents the current object. (Inherited from Object.) |

Extension Methods

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

HasMethod |
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) | |

IsEqual | Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices. (Defined by Matrix.) | |

ToT | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) | |

ToT | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by Matrix.) |

See Also