#include <itkMixtureModelComponentBase.h>
Inheritance diagram for itk::Statistics::MixtureModelComponentBase< TSample >:
This class expects that its subclasses (distribution components) should have analytical expressions for updating its paraters using only the measurement vectors and their associated weights.
This class can be considered as a macro class that encapsulates the storage for the weights, model (subclasses of MembershipFunctionBase), and model parameter estimators (implemenation of analytical expressions).
Subclasses of this class should define their own distribution specific membership function. For example, GaussianMixtureModelComponent class defines and creates a GaussianDensityFunction object for that matter. Subclasses should also cast such membership function object to MembershipFunctionBase object. By doing that, users can get pointers to membership functions from different distributional model
Definition at line 53 of file itkMixtureModelComponentBase.h.
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Reimplemented in itk::Statistics::GaussianMixtureModelComponent< TSample >. Definition at line 67 of file itkMixtureModelComponentBase.h. |
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typedef for the MembershipFunctionBase Reimplemented in itk::Statistics::GaussianMixtureModelComponent< TSample >. Definition at line 71 of file itkMixtureModelComponentBase.h. |
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Reimplemented in itk::Statistics::GaussianMixtureModelComponent< TSample >. Definition at line 76 of file itkMixtureModelComponentBase.h. |
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Reimplemented from itk::Object.
Reimplemented in itk::Statistics::GaussianMixtureModelComponent< TSample >. Definition at line 60 of file itkMixtureModelComponentBase.h. |
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Standard class typedefs. Reimplemented from itk::Object.
Reimplemented in itk::Statistics::GaussianMixtureModelComponent< TSample >. Definition at line 58 of file itkMixtureModelComponentBase.h. |
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Reimplemented from itk::Object.
Reimplemented in itk::Statistics::GaussianMixtureModelComponent< TSample >. Definition at line 59 of file itkMixtureModelComponentBase.h. |
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typedef of strorage for the weights Reimplemented in itk::Statistics::GaussianMixtureModelComponent< TSample >. Definition at line 74 of file itkMixtureModelComponentBase.h. |
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returns the value of parameter modified tag |
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sets the parameters modified tag. if one or more of the membership funtion's parameters are changed, then flag should be true |
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allocates the weights array |
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deallocates the weights array |
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returns the membership score of the "measurements" vector |
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Reimplemented in itk::Statistics::GaussianMixtureModelComponent< TSample >.
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Standard Macros Reimplemented from itk::Object.
Reimplemented in itk::Statistics::GaussianMixtureModelComponent< TSample >.
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Definition at line 98 of file itkMixtureModelComponentBase.h. |
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returns the pointer to the membership function object. Subclasses of this class are responsible for creating the actual membership function objects and cast them to MembershipFunctionBase objects |
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Definition at line 93 of file itkMixtureModelComponentBase.h. |
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returns the sample pointer |
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returns the index-th weight |
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returns the pointer to the weights array |
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Standard Macros Reimplemented from itk::Object.
Reimplemented in itk::Statistics::GaussianMixtureModelComponent< TSample >.
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Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes. Reimplemented from itk::Object.
Reimplemented in itk::Statistics::GaussianMixtureModelComponent< TSample >.
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stores the pointer to the membership function. subclasses use this funtion to store their membership function object after dynamic creation |
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Definition at line 90 of file itkMixtureModelComponentBase.h. |
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Reimplemented in itk::Statistics::GaussianMixtureModelComponent< TSample >.
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stores the sample pointer Reimplemented in itk::Statistics::GaussianMixtureModelComponent< TSample >.
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sets the index-th weight with the "value" |
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