diff --git a/examples/ShonanAveragingCLI.cpp b/examples/ShonanAveragingCLI.cpp
index 322622228..9970f45da 100644
--- a/examples/ShonanAveragingCLI.cpp
+++ b/examples/ShonanAveragingCLI.cpp
@@ -25,7 +25,8 @@
  * Read 3D dataset sphere25000.txt and output to shonan.g2o (default)
  * ./ShonanAveragingCLI -i spere2500.txt
  *
- * If you prefer using a robust Huber loss, you can add the option "-h true", for instance
+ * If you prefer using a robust Huber loss, you can add the option "-h true",
+ * for instance
  * ./ShonanAveragingCLI -i spere2500.txt -u true
  */
 
@@ -62,9 +63,9 @@ int main(int argc, char* argv[]) {
       "dimension,d", po::value<int>(&d)->default_value(3),
       "Optimize over 2D or 3D rotations")(
       "useHuberLoss,h", po::value<bool>(&useHuberLoss)->default_value(false),
-	  "set True to use Huber loss")(
-	  "pMin,p", po::value<int>(&pMin)->default_value(3),
-	  "set to use desired rank pMin")(
+      "set True to use Huber loss")("pMin,p",
+                                    po::value<int>(&pMin)->default_value(3),
+                                    "set to use desired rank pMin")(
       "seed,s", po::value<int>(&seed)->default_value(42),
       "Random seed for initial estimate");
   po::variables_map vm;
@@ -97,9 +98,9 @@ int main(int argc, char* argv[]) {
     cout << "Running Shonan averaging for SO(2) on " << inputFile << endl;
     ShonanAveraging2::Parameters parameters(lmParams);
     parameters.setUseHuber(useHuberLoss);
-    ShonanAveraging2 shonan(inputFile,parameters);
+    ShonanAveraging2 shonan(inputFile, parameters);
     auto initial = shonan.initializeRandomly(rng);
-    auto result = shonan.run(initial,pMin);
+    auto result = shonan.run(initial, pMin);
 
     // Parse file again to set up translation problem, adding a prior
     boost::tie(inputGraph, posesInFile) = load2D(inputFile);
@@ -113,9 +114,9 @@ int main(int argc, char* argv[]) {
     cout << "Running Shonan averaging for SO(3) on " << inputFile << endl;
     ShonanAveraging3::Parameters parameters(lmParams);
     parameters.setUseHuber(useHuberLoss);
-    ShonanAveraging3 shonan(inputFile,parameters);
+    ShonanAveraging3 shonan(inputFile, parameters);
     auto initial = shonan.initializeRandomly(rng);
-    auto result = shonan.run(initial,pMin);
+    auto result = shonan.run(initial, pMin);
 
     // Parse file again to set up translation problem, adding a prior
     boost::tie(inputGraph, posesInFile) = load3D(inputFile);