Optimal Classification/Rypka Method/Equations/Separatory/Characteristic/Empirical/Separation

Initial separation
$$ S_j = \frac{\left[(G^{2})-\sum_{l=0}^{R} n_l^{2}\right]}{2}$$, where:
 * Sj is the initial empirical separatory value for each characteristic, where,
 * j = 0...C and is the index of the jth characteristic in the group and C is the number of characteristics in the group, and,
 * l = 0...R and is the truth table value of the jth characteristic, where R is the truth table size, where:
 * R = V0, and,


 * V is the highest value of logic in the group and,
 * 0 is the target set exponent for a single characteristic, and,
 * G is the number of elements in the bounded class.

Subsequent separation
$$ S = \frac{\left[(G^{2})-\sum_{l=0}^{R} n_l^{2}\right]}{2}$$, where:
 * Sj is the initial empirical separatory value for each characteristic, where,
 * l = 0...R and is the target set truth table index value, where R is the target set truth table size value, where:
 * R = VK, and,


 * V is the highest value of logic in the group and,
 * K is the number of characteristics in the target set, and,
 * G is the number of elements in the bounded class.