New probabilistic version of the simca and classy classification methods : Part 2. Practical evaluation

The new probabilistic versions of SIMCA and CLASSY described in Part 1 are evaluated. Their classification performance is found to be generally better than those of the old versions. The results are also compared with those of the ALLOC and SLDA classification methods. General over-confident behaviour of the new SIMCA and CLASSY methods as well as ALLOC and SLDA is noted for two of the three data sets investigated (Iris and two wine data sets).