Graph partitioning and bisection represent fundamental questions in combinatorial optimisation, concerned with dividing the vertices of a graph into disjoint subsets while balancing size constraints ...

Graph-based image segmentation frames an image as a weighted graph in which pixels or regions correspond to nodes, and edges encode similarity or affinity between neighbouring elements. By formulating ...

Spectral clustering is quite complex, but it can reveal patterns in data that aren't revealed by other clustering techniques. Data clustering is the process of grouping data items so that similar ...