Algorithm 2 The FM algorithm, where X is the input dataset to be classified, V is the algorithm output that contains the prototypes found by the clustering process. F is the dimension of the vector space.

1:Choose ${\epsilon }_1$ and ${\epsilon }_2$ standard parameters. 2:Initialize $V=\left\{\right\}\subset {\mathbb{R}}^F$. 3:$Load\_Dataset\left(X\right)$ 4:$r=Calculate\_r\_Factor\left(X\right)$ 5:$Calculate\_Prototypes(X,r,{\epsilon }_1,{\epsilon }_2,V)$