Application Research on Cluster Analysis in Unsupervised Image Classification

In order to improve the application effectiveness of cluster analysis in unsupervised image classification, a clustering algorithm based on density and adaptive density-reachable is designed and implemented. Compared with the classifying results of K-means and hierarchical method, it is evident that the algorithm has good effect on unsupervised image classification.