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.
Keywords: Fuzzy pixels, difference iterative clustering, multimedia image, mining.
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