removed the factor of the variance for normalization

app/cbDimensionalityReduction.cxx

@@ -222,7 +222,7 @@ private:
         }
         
       // Rescale vector image
-      m_Rescaler->SetScale(stddevMeasurementVector*3);
+      m_Rescaler->SetScale(stddevMeasurementVector);
       m_Rescaler->SetShift(meanMeasurementVector);
       m_Rescaler->SetInput(inImage);
 

app/cbDimensionalityReductionTrainer.cxx

@@ -124,7 +124,7 @@ private:
 		ShiftScaleFilterType::Pointer trainingShiftScaleFilter = ShiftScaleFilterType::New();
 		trainingShiftScaleFilter->SetInput(input);
 		trainingShiftScaleFilter->SetShifts(meanMeasurementVector);
-		trainingShiftScaleFilter->SetScales(stddevMeasurementVector*3);
+		trainingShiftScaleFilter->SetScales(stddevMeasurementVector);
 		trainingShiftScaleFilter->Update();
 
 		ListSampleType::Pointer trainingListSample= trainingShiftScaleFilter->GetOutput();

app/cbDimensionalityReductionVector.cxx

@@ -223,7 +223,7 @@ class CbDimensionalityReductionVector : public Application
 			ShiftScaleFilterType::Pointer trainingShiftScaleFilter = ShiftScaleFilterType::New();
 			trainingShiftScaleFilter->SetInput(input);
 			trainingShiftScaleFilter->SetShifts(meanMeasurementVector);
-			trainingShiftScaleFilter->SetScales(stddevMeasurementVector*3);
+			trainingShiftScaleFilter->SetScales(stddevMeasurementVector);
 			trainingShiftScaleFilter->Update();
 			otbAppLogINFO("mean used: " << meanMeasurementVector);
 			otbAppLogINFO("standard deviation used: " << stddevMeasurementVector);