Robust spherical clustering as mixed integer optimization problem and its gradient network solution

Support vector based spherical clustering is described as an optimization problem posed in the input space where the cluster indicators are also considered as variables. The robust clustering is attempted to be found by taking the objective function of the optimization problem as energy function of the gradient network. The proposed method is an extension of the work by the authors formulating the clustering problem as a mixed integer optimization by considering the cluster indicators and centers as variables.