diff --git a/ex-7/fisher.c b/ex-7/fisher.c
index 9a48499..57cb587 100644
--- a/ex-7/fisher.c
+++ b/ex-7/fisher.c
@@ -86,6 +86,15 @@ gsl_vector* fisher_proj(sample_t *c1, sample_t *c2) {
     0,             // β = 0
     w);            // vector y
 
+  /* Normalise the weights and force
+   * positiveness for easier
+   * comparison with other methods.
+   */
+  double norm = gsl_blas_dnrm2(w);
+  if (gsl_vector_isneg(w))
+    norm = -norm;
+  gsl_vector_scale(w, 1/norm);
+
   // free memory
   gsl_matrix_free(cov1);
   gsl_matrix_free(cov2);
@@ -170,7 +179,7 @@ double fisher_cut(
    *
    * with a,b,c given as above.
    *
-   * */
+   */
   double a = var1 - var2;
   double b = m2*var1 + m1*var2;
   double c = m2*m2*var1 - m1*m1*var2 + 2*var1*var2 * log(ratio);
diff --git a/ex-7/percep.c b/ex-7/percep.c
index 6fd29d0..d762119 100644
--- a/ex-7/percep.c
+++ b/ex-7/percep.c
@@ -38,7 +38,7 @@ void iterate(
     gsl_blas_ddot(weight, x, &proj);
 
     /* Calculate Δ
-     * Note: the step functions θ(x) is computed
+     * Note: the step function θ(x) is computed
      * by negating the sign bit of the floating
      * point.
      */
@@ -80,7 +80,15 @@ gsl_vector *percep_train(
     iterate(signal->data, w, &bias, 1, rate);
   }
 
-  *cut = -bias;
+  /* Normalise the weights and force
+   * positiveness for easier
+   * comparison with other methods.
+   */
+  double norm = gsl_blas_dnrm2(w);
+  if (gsl_vector_isneg(w))
+    norm = -norm;
+  gsl_vector_scale(w, 1/norm);
+  *cut = -bias/norm;
 
   return w;
 }