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...
| Main Authors: | , , |
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| Format: | Online |
| Language: | English |
| Published: |
Molecular Diversity Preservation International (MDPI)
2008
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3705474/ |