diff --git a/Modules/Applications/AppClassification/app/otbKMeansClassification.cxx b/Modules/Applications/AppClassification/app/otbKMeansClassification.cxx
index bcb546e03d11118b8e5c98a29d1cc7dbd824873e..eeb30c249965e3a17697a1a34e5e528199515152 100644
--- a/Modules/Applications/AppClassification/app/otbKMeansClassification.cxx
+++ b/Modules/Applications/AppClassification/app/otbKMeansClassification.cxx
@@ -80,6 +80,10 @@ protected:
     SetParameterDescription("maxit", "Maximum number of iterations for the learning step.");
     SetDefaultParameterInt("maxit", 1000);
     MandatoryOff("maxit");
+    
+    AddParameter(ParameterType_String, "incentroid", "Maximum number of iterations");
+    SetParameterDescription("incentroid", "Maximum number of iterations for the learning step.");
+    MandatoryOff("incentroid");
 
     AddParameter(ParameterType_OutputFilename, "outmeans", "Centroid filename");
     SetParameterDescription("outmeans", "Output text file containing centroid positions");
@@ -248,6 +252,8 @@ protected:
                                                         GetParameterInt("maxit"));
     GetInternalApplication("training")->SetParameterInt("classifier.sharkkm.k",
                                                         GetParameterInt("nc"));
+    GetInternalApplication("training")->SetParameterString("classifier.sharkkm.incentroid",
+                                                        GetParameterString("incentroid"));
 
     if( IsParameterEnabled("rand"))
       GetInternalApplication("training")->SetParameterInt("rand", GetParameterInt("rand"));
diff --git a/Modules/Applications/AppClassification/include/otbTrainSharkKMeans.hxx b/Modules/Applications/AppClassification/include/otbTrainSharkKMeans.hxx
index a3c43741c70ace5c453ae45212abedb313b30b32..d3d8d75ddc4fc9b272ddb547f3d19a0302afc8e6 100644
--- a/Modules/Applications/AppClassification/include/otbTrainSharkKMeans.hxx
+++ b/Modules/Applications/AppClassification/include/otbTrainSharkKMeans.hxx
@@ -44,6 +44,12 @@ void LearningApplicationBase<TInputValue, TOutputValue>::InitSharkKMeansParams()
   SetParameterInt("classifier.sharkkm.k", 2);
   SetParameterDescription("classifier.sharkkm.k", "The number of classes used for the kmeans algorithm. Default set to 2 class");
   SetMinimumParameterIntValue("classifier.sharkkm.k", 2);
+  
+  
+  // Number of classes
+  AddParameter(ParameterType_String, "classifier.sharkkm.incentroid", "Number of classes for the kmeans algorithm");
+  SetParameterDescription("classifier.sharkkm.incentroid", "The number of classes used for the kmeans algorithm. Default set to 2 class");
+  MandatoryOff("classifier.sharkkm.incentroid");
 }
 
 template<class TInputValue, class TOutputValue>
@@ -60,6 +66,7 @@ void LearningApplicationBase<TInputValue, TOutputValue>::TrainSharkKMeans(
   classifier->SetInputListSample( trainingListSample );
   classifier->SetTargetListSample( trainingLabeledListSample );
   classifier->SetK( k );
+  classifier->SetCentroidFilename( GetParameterString( "classifier.sharkkm.incentroid") );
   classifier->SetMaximumNumberOfIterations( nbMaxIter );
   classifier->Train();
   classifier->Save( modelPath );