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 ...
Scientists successfully addressed mathematical challenges in conventional Spectral Matrix analysis, used to analyze three-component seismic signals, by introducing time-delay components. The new ...
The paper deals with spectral divisors of a matrix polynomial relative to a given contour. Necessary and sufficient conditions are given for the existence of spectral divisors whose behaviour at ...
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