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Random projections and hotelling's T² statistics for change detection in high-dimensional data streams

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Skubalska-Rafajłowicz E.

International Journal of Applied Mathematics and Computer Science

2013

tom 23

nr 2

447-461

The method of change (or anomaly) detection in high-dimensional discrete-time processes using a multivariate Hotelling chart is presented. We use normal random projections as a method of dimensionality reduction. We indicate diagnostic properties of the Hotelling control chart applied to data projected onto a random subspace of Rn . We examine the random projection method using artificial noisy image sequences as examples.

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1 International Journal of Applied Mathematics and Computer Science

1 Skubalska-Rafajłowicz E.

1 2013

Wyniki wyszukiwania

Random projections and hotelling's T² statistics for change detection in high-dimensional data streams