[Insight-users] ExpectationMaximizationMixtureModelEstimator

[mekonnen lemessa]

Dear all,


I used ExpectationMaximizationMixtureModelEstimator.cxx to get the
parameters' value and proportion of each cluster. Obviously, this function
is model estimator. However, I couldn't get the function which gives the
clustered output image.  If you take
kmeans, ScalarImageKmeansModelEstimator.cxx computes the mean of each
cluster (model) and ScalarImageKmeansClassifier.cxx classifies the image
using initial or modeled mean of the image and gives classified output
image. Is there any function classifies input image using Expected
Maximization and gives final classified output image. Please, guys give me
hand, I need it urgently!

NB. Any comment is welcomed!

Best regards,

Mek
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