AP Clustering Algorithm: Implementation and Applications in Image Processing

The AP clustering algorithm, originally published in Science magazine in 2008, represents one of the most effective clustering methods I've encountered during my decade-long research in image processing. This MATLAB implementation (compatible with MATLAB 7.0) provides comprehensive clustering demonstrations and includes practical applications for image segmentation, featuring optimized parameter configuration and efficient similarity matrix computation.