Multivariate time series (MTS) samples which differ significantly from other MTS samples are referred to as outlier samples. In this paper, an algorithm designed to efficiently detect the top n outlier samples in MTS dataset, based on Solving Set, is proposed. An extended Frobenius Norm is used to c
β¦ LIBER β¦
Outlier Diagnostics in Several Multivariate Samples
β Scribed by Wing-Kam Fung
- Book ID
- 108549072
- Publisher
- John Wiley and Sons
- Year
- 1999
- Weight
- 350 KB
- Volume
- 48
- Category
- Article
- ISSN
- 0039-0526
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