Multimedia Image Mining Method Based on Fuzzy Pixels Difference Iterative Clustering

The traditional multimedia image mining based on association rules, has a big flaw in mining time, thus a multimedia image mining method based on fuzzy pixel difference iterative clustering is proposed. In this method, multimedia image index characteristic value is converted into relative membership degree for fuzzy concept index. On the basis of the multimedia image samples and fuzzy pixel difference comprehensive tradeoff metric equations of different types, the Lagrange function is constructed to acquire fuzzy pixel difference iterative clustering loop iteration model. The model is adopted to analyze average divergence inside the cluster and average separation degree between clusters and choose the optimal clustering number value, so as to achieve mining of multimedia image. The results of simulation experiment show that the mining time and energy consumption of the proposed method are better than the traditional method, and the proposed method has a high value of application.