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Distributed Principal Component Analysis for Wireless Sensor Networks
The Principal Component Analysis (PCA) is a data dimensionality reduction tech-nique well-suited for processing data from sensor networks. It can be applied to tasks like compression, event detection, and event recognition. This technique is based on a linear trans-form where the sensor measurements...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Molecular Diversity Preservation International (MDPI)
2008
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3705474/ https://ncbi.nlm.nih.gov/pubmed/27873788 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s8084821 |
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