Application of locally linear embedding algorithm based on support vector machine in image retrieval

SVM has the generalization ability and high precision classification,and the algorithm complexity has nothing to do with the dimension of samples,LLE is an effective non-linear dimension reduction methods.This paper improved Locally Linear Embedding(LLE) algorithm used with Support Vector Machine(SVM) algorithm,and solved the dimension reduction problems of high-dimensional characteristics vector in the content-based image retrieval.The experiments showed that has high accurate rate and complete rate.