def get_total_wce(self):
return self.__total_wce<EOL>
!
        @brief Returns sum of metric errors that depends on metric that was used for clustering (by default SSE - Sum of Squared Errors).
        @details Sum of metric errors is calculated using distance between point and its center:
                 \f[error=\sum_{i=0}^{N}distance(x_{i}-center(x_{i}))\f]

        @see process()
        @see get_clusters()