CADI quantifies the preservation of relative cluster angles in low-dimensional projections using internal angles from point triples.
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Tensor Train compression algorithms detect anomalies by maintaining normal data structure and deleting anomalous structure, tested on digits, faces, and cyber-attack datasets.
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Class Angular Distortion Index for Dimensionality Reduction
CADI quantifies the preservation of relative cluster angles in low-dimensional projections using internal angles from point triples.
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Anomaly Detection from a Tensor Train Perspective
Tensor Train compression algorithms detect anomalies by maintaining normal data structure and deleting anomalous structure, tested on digits, faces, and cyber-attack datasets.