http://www.emgu.com
Creaet an Expectation Maximization model using the specific training parameters

Namespace: Emgu.CV.ML
Assembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.4.10.1935 (2.4.10.1935)

Syntax

C#
public EMLegacy(
	Matrix<float> samples,
	EMParams parameters,
	Matrix<int> labels
)
Visual Basic
Public Sub New ( 
	samples As Matrix(Of Single),
	parameters As EMParams,
	labels As Matrix(Of Integer)
)
Visual C++
public:
EMLegacy(
	Matrix<float>^ samples, 
	EMParams^ parameters, 
	Matrix<int>^ labels
)
F#
new : 
        samples : Matrix<float32> * 
        parameters : EMParams * 
        labels : Matrix<int> -> EMLegacy

Parameters

samples
Type: Emgu.CV..::..Matrix<(Of <(<'Single>)>)>
The training data. A 32-bit floating-point, single-channel matrix, one vector per row
parameters
Type: Emgu.CV.ML..::..EMParams
The parameters for EM
labels
Type: Emgu.CV..::..Matrix<(Of <(<'Int32>)>)>
Can be null if not needed. Optionally computed output "class label" for each sample

See Also