BUG: fix scale formula :1/stddev

Modules/Applications/AppClassification/include/otbTrainSharkKMeans.hxx

@@ -52,7 +52,7 @@ void LearningApplicationBase<TInputValue, TOutputValue>::InitSharkKMeansParams()
   MandatoryOff("classifier.sharkkm.centroidstats");
   
   // Number of classes
-  AddParameter(ParameterType_String, "classifier.sharkkm.centroids", "Number of classes for the kmeans algorithm");
+  AddParameter(ParameterType_InputFilename, "classifier.sharkkm.centroids", "Number of classes for the kmeans algorithm");
   SetParameterDescription("classifier.sharkkm.centroids", "The number of classes used for the kmeans algorithm. Default set to 2 class");
   MandatoryOff("classifier.sharkkm.centroids");
 }
@@ -73,7 +73,7 @@ void LearningApplicationBase<TInputValue, TOutputValue>::TrainSharkKMeans(
   classifier->SetK( k );
 
   // Initialize centroids from file
-  if(HasValue("classifier.sharkkm.centroids"))
+  if(IsParameterEnabled("classifier.sharkkm.centroids") && HasValue("classifier.sharkkm.centroids"))
   {
     shark::Data<shark::RealVector> centroidData;
     shark::importCSV(centroidData, GetParameterString( "classifier.sharkkm.centroids"), ' ');
@@ -91,7 +91,7 @@ void LearningApplicationBase<TInputValue, TOutputValue>::TrainSharkKMeans(
       assert(meanMeasurementVector.Size()==stddevMeasurementVector.Size());
       for (unsigned int i = 0; i<meanMeasurementVector.Size(); ++i)
       {
-        stddevMeasurementRV[i] = stddevMeasurementVector[i];
+        stddevMeasurementRV[i] = 1/stddevMeasurementVector[i];
         // Substract the normalized mean
         offsetRV[i] = - meanMeasurementVector[i]/stddevMeasurementVector[i];
       }