SSE idea

def cluster_centers(self,X):
      listOfClusters = []
      result = []
      for i in self.clusters:
          listOfClusters.append(self.cluster_list(X,i))
      for ei in listOfClusters:
        sum = [0]
        count = 0
        for ej in ei[1:]:
            sum += ej
            count += 1
        result.append(sum/count)
      return np.array(result)

    def SumSquaredError(self,X):
      sse = 0
      for i in self.clusters:
          sse = np.sum((self.cluster_list(X,i) - self.cluster_centers(X)[i])**2)
      return sse