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A Theoretical Investigation of Graph Degree as an Unsupervised Normality Measure

24 Jan 2018 • Caglar Aytekin • Francesco Cricri • Lixin Fan • Emre Aksu

For a graph representation of a dataset, a straightforward normality measure for a sample can be its graph degree. Considering a weighted graph, degree of a sample is the sum of the corresponding row's values in a similarity matrix... (read more)

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ANOMALY DETECTION

GRAPH CLUSTERING

SPECTRAL GRAPH CLUSTERING

UNSUPERVISED ANOMALY DETECTION

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