IFD:EAI SoS21/course material/Session 4: Programming the Classifier Part1: Difference between revisions

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 </syntaxhighlight>
 Our classifier is written in a class called "KMeans" because it most closely resembles a KMeans classifier.
-So inside the "KMeans.h" and "KMeans.cpp" you will find the guts of our classifier.
+So inside the "KMeans.cpp" you will find the guts of our classifier. You can see that, when the KMeans classifier gets instantiated (=the contructor is called), we feed it with the points and the class labels
 <syntaxhighlight lang="c++">
-KMeans::KMeans(vector<Point2D> &pVec, vector<int> &cVec, int n_classes )
+KMeans::KMeans(vector<Point2D> &points, vector<int> &labels, int n_classes )
 {
      _n_classes = n_classes;
@@ Line 50: / Line 50: @@
          int numPoints = 0;
-         for(int i=0; i<pVec.size(); i++)
+         for(int i=0; i<points.size(); i++)
          {
-             if(cVec[i]==c) // see if point in pVec belongs to class c
+             if(labels[i]==c) // see if point in points belongs to class c
              {
-                 _centroids[c] = _centroids[c] + pVec[i];
+                 _centroids[c] = _centroids[c] + points[i];
                  numPoints = numPoints + 1;
              }
          }
-         // all points in pVec, that belong to the class c are added up
+         // all points in "points", that belong to the class c are added up
          // now, divide by num of points in class c
          _centroids[c] = _centroids[c]/numPoints;