A new method turns noise into valuable data to enhance understanding of chemical reactions and material properties with unprecedented detail at the atomic level. The results of this research are now ...

To address this challenge in a sustainable manner, a novel approach has been proposed leveraging the power of unsupervised clustering while integrating conditional spatial properties of the image into ...

Constituting the first reported attempt of spectral-based fully unsupervised segmentation of neuroanatomical regions such as lobes, spectral analysis of lobes (Spanol) could conveniently be fitted ...

In this paper, we propose a novel image segmentation method based on manifold spectral clustering. This method is based on the simple idea that image can be represented as the set of several manifolds ...

Spectral clustering is a new graph and similarity based clustering algorithm. When the image is too big, it will take a long time to compute affinity matrix and its eigenvalues and eigenvectors. In ...