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Aiming at the classification problem of the complex product voice of customers with a large number of catalogs and data volumes, a heuristic strategy was proposed to resolve the coding designing problem by using output of a probability minimax machine and sample interval attribute. An algorithm with less iterative steps of optimization was taken as a “weak” algorithm while preserving its other characteristics like large margin and geometric properties. The nonlinear mapping was applied for “weak” algorithms' output (vector) to work in high dimensional spaces and improve the performances. At last, the experiments with the proposed algorithm were described to show that the approach was more effective than others by using forklift VOC.