Unsupervised dimensionality reduction method for multivariate time series based on global and local scatter
To solve the problem that the traditional dimensionality reduction methods cannot be directly applied to multivariate time series, and for the existing approaches, it is difficult to ensure the effectiveness of dimensionality reduction while significantly reducing the dimension, an unsupervised dime...
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| Asıl Yazarlar: | , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Chinês |
| Baskı/Yayın Bilgisi: |
Editorial Department of Journal on Communications
2024-01-01
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| Seri Bilgileri: | Tongxin xuebao |
| Konular: | |
| Online Erişim: | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2024008 |
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