A new algorithm for spectral clustering is depicted. This algorithm can cluster a large number of samples (in the order of 50000 samples) that would be impossible to cluster with current approaches.

Due to its inherent complexity, remote sensing image clustering is a challenging task. Recently, some spatial-based clustering approaches have been proposed; however, one crucial factor with regard to ...