The proposed algorithm is implemented by incorporating the MRF based spatial constraints as a regularization term to the objective function of the kernelized fuzzy C-means clustering(FCM).

The paper investigates a multi-item ordering model of non-linear programming,which considers incremental quantity discounts with space constraint.

Through rob-based access control model(RBAC)and its extension study,put forward mandatory time and space constraints and role- based access control model(MSTEBAC)in the application of e-government system,this model introduce mandatery,time-bound,space constraint management methods based on the RBAC model,its security is maturity,authorization is flexible,actualization is simple.

This thesis introduces the merits and shortcomings of weighted fuzzy clustering algorithm and fuzzy clustering with spatial constrains, then an improved image segmentation algorithm based on weighted fuzzy clustering using spatial information(called WSFCM later) is utilized.

To enhance the accuracy of hierarchical clustering algorithm,based on a study of space-constrained application,and using the Single Link algorithm as an example,the impact of space-constrainment is certificated to the result.