diff --git a/src/main/java/de/hsel/spm/baudas/analysis/Cluster.java b/src/main/java/de/hsel/spm/baudas/analysis/Cluster.java
index d340747..10e25b1 100644
--- a/src/main/java/de/hsel/spm/baudas/analysis/Cluster.java
+++ b/src/main/java/de/hsel/spm/baudas/analysis/Cluster.java
@@ -10,7 +10,7 @@ import java.util.HashMap;
 import java.util.Map;
 
 /**
- * Cluster Analysis
+ * Cluster Analysis.
  *
  * @author Johannes Theiner
  * @version 0.1
@@ -24,6 +24,11 @@ public class Cluster implements Analysis<Map<Integer, Map<String, String>>> {
         instances = load(file);
     }
 
+    /**
+     * get result of cluster analysis.
+     *
+     * @return Result
+     */
     @Override
     public Map<Integer, Map<String, String>> getResult() {
         if(result == null) {
@@ -41,6 +46,7 @@ public class Cluster implements Analysis<Map<Integer, Map<String, String>>> {
                 e.printStackTrace();
             }
 
+            //creating a single cluster to get average, weka has no way to get that from a bigger one.
             SimpleKMeans fullMeans = new SimpleKMeans();
             Instances fullCentroids = null;
             try {
@@ -54,6 +60,7 @@ public class Cluster implements Analysis<Map<Integer, Map<String, String>>> {
             }
             assert fullCentroids != null;
 
+            //creating real cluster
             SimpleKMeans kMeans = new SimpleKMeans();
             try {
                 kMeans.setNumClusters(5);
@@ -70,10 +77,16 @@ public class Cluster implements Analysis<Map<Integer, Map<String, String>>> {
                 ex.printStackTrace();
             }
         }
-
         return result;
     }
 
+    /**
+     * puts data into map.
+     *
+     * @param centroids cluster analysis result
+     * @param count current insert count
+     * @return count increment
+     */
     private int putIntoMap(Instances centroids, int count) {
         for (int i = 0; i < centroids.numInstances(); i++) {
             Map<String, String> map = new HashMap<>();