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 ...

The spectral characteristics of graphs and matrices form a central pillar of modern mathematical physics and network theory. At its core, the adjacency matrix of a graph encodes connectivity by ...

Scientists successfully addressed mathematical challenges in conventional Spectral Matrix analysis, used to analyze three-component seismic signals, by introducing time-delay components. The new ...