Automatic selection of ambient noise observation stations based on the clustering algorithm.
Xiaohua ZhouXinkai MengGuanghui SunJainbin ZhengWenrui YePublished in: AISS (2021)
Keyphrases
- automatic selection
- clustering algorithm
- arbitrary shape
- data clustering
- image noise
- k means
- ambient intelligence
- signal to noise ratio
- noisy data
- neural network
- noise level
- low snr
- random noise
- real time
- intelligent environments
- sensor noise
- low signal to noise ratio
- noise reduction
- noise free
- clustering analysis
- noise model
- additive noise
- median filter
- spectral clustering
- document clustering
- missing data
- image restoration
- image segmentation
- data sets