http://www.emgu.com
Assembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.4.2.1777 (2.4.2.1777)
Create an Expectation Maximization model
Namespace: Emgu.CV.MLAssembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.4.2.1777 (2.4.2.1777)
Syntax
C# |
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public EM( int nclusters, EM_COVARIAN_MATRIX_TYPE covMatType, MCvTermCriteria termcrit ) |
Visual Basic |
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Public Sub New ( _ nclusters As Integer, _ covMatType As EM_COVARIAN_MATRIX_TYPE, _ termcrit As MCvTermCriteria _ ) |
Visual C++ |
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public: EM( int nclusters, EM_COVARIAN_MATRIX_TYPE covMatType, MCvTermCriteria termcrit ) |
Parameters
- nclusters
- Type: System..::..Int32
The number of mixture components in the Gaussian mixture model. Use 5 for default.
- covMatType
- Type: Emgu.CV.ML.MlEnum..::..EM_COVARIAN_MATRIX_TYPE
Constraint on covariance matrices which defines type of matrices
- termcrit
- Type: Emgu.CV.Structure..::..MCvTermCriteria
The termination criteria of the EM algorithm. The EM algorithm can be terminated by the number of iterations termCrit.maxCount (number of M-steps) or when relative change of likelihood logarithm is less than termCrit.epsilon. Default maximum number of iterations is 100