Conflicts:
      Modules/Applications/AppClassification/app/otbTrainImagesClassifier.cxx
      Modules/Applications/AppClassification/app/otbTrainVectorClassifier.cxx
      Modules/Learning/LearningBase/include/otbImageClassificationFilter.h
      Modules/Learning/LearningBase/include/otbImageClassificationFilter.txx
      Modules/Learning/LearningBase/include/otbMachineLearningModel.h
      Modules/Learning/LearningBase/include/otbMachineLearningModel.txx
      Modules/Learning/LearningBase/include/otbMachineLearningModelFactoryBase.h
      Modules/Learning/LearningBase/include/otbSharkUtils.h

This allow to use alpha parameter in non GLSL mode.

 Label is needed to perform mean shift segmentation but ModeSearch
 (needed to output label) was default set to false.

Now input vector with class is required for unsupervised classifier.
The cases where input vector data were optional for unsupervised
classification are commented.

Update license for added/moved files.

shark k-means do not provide confidence map (for now).

This allow to have only one application to handle bot supervised and
unsupervised classifier.

Classifier category is retrieve with selected classifier and depending
this category some operation are added/removed for the training.

This workaround is added to avoid a crash in application when build
is made with RelWithDebInfo which is caused by a
boost::archive_exception impossible to be catch.
This workaround break the compatibility with shark model direct
read/write.
It is still possible to read old RF model from OTB.