Mean Projection (MP)

A single, non-iterative orthogonal projection whose per-class removal direction is simply the difference between a class's mean vector and the mean of all remaining classes — trading LEACE's closed-form optimality guarantee and RLACE's adversarial-game formalism for a heuristic that requires exactly one direction per class and no classifier training, iteration, or gradient descent at all.