#include <itkMahalanobisDistanceMembershipFunction.h>
Inheritance diagram for itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >:
This class keeps parameter to define MahalanobisDistance Density Function and has method to return the probability density of an instance. MeasurementVectorSize is the dimension of measurement space. double is type of measurement.
Definition at line 43 of file itkMahalanobisDistanceMembershipFunction.h.
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Type used for representing the covariance matrix Definition at line 64 of file itkMahalanobisDistanceMembershipFunction.h. Referenced by itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::~MahalanobisDistanceMembershipFunction(). |
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Type used for representing the mean vector Definition at line 61 of file itkMahalanobisDistanceMembershipFunction.h. Referenced by itk::Statistics::MahalanobisDistanceMembershipFunction< TVector >::~MahalanobisDistanceMembershipFunction(). |
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Typedef alias for the measurement vectors Definition at line 58 of file itkMahalanobisDistanceMembershipFunction.h. |
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Reimplemented from itk::Statistics::MembershipFunctionBase< TVector >. Definition at line 50 of file itkMahalanobisDistanceMembershipFunction.h. |
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Standard class typedefs Reimplemented from itk::Statistics::MembershipFunctionBase< TVector >. Definition at line 48 of file itkMahalanobisDistanceMembershipFunction.h. |
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Reimplemented from itk::Statistics::MembershipFunctionBase< TVector >. Definition at line 49 of file itkMahalanobisDistanceMembershipFunction.h. |
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Method to get probability of an instance. The return value is the value of the density function, not probability. |
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Strandard macros Reimplemented from itk::Statistics::MembershipFunctionBase< TVector >.
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Method to get covariance matrix |
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Method to get covariance matrix |
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Method to get mean |
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Method to get the number of samples |
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Strandard macros Reimplemented from itk::Object.
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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::Statistics::MembershipFunctionBase< TVector >.
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Method to set covariance matrix Also, this function calculates inverse covariance and pre factor of MahalanobisDistance Distribution to speed up GetProbability |
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Method to set covariance matrix Also, this function calculates inverse covariance and pre factor of MahalanobisDistance Distribution to speed up GetProbability |
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Method to set mean |
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Method to set the number of samples |