Prototype of Clustering and Classification Model for Privacy Preservation using Single Vector Decomposition

The single value decomposition technique divides the data of different parties during the process of privacy preservation. The process of single value decomposition implied in the form of clustering and classification. The combined process of clustering and classification called prototype mode for sharing privacy preservation. The utility of vector decomposition in this model is selection of data in different parties for the process of maintain the raw information. In this paper proposed a prototype model for privacy preservation and improved the efficiency of data utility and accuracy of data recovery during the process of privacy. The proposed model implements in MATLAB software and used some standard dataset for evaluation of performance. The proposed model is very efficient in compression of KPPDM model. General Terms Privacy preservation, Data mining, Vector Decomposition