Weather Data Mining Using Independent Component Analysis
Abstract
In this article, we apply the independent component analysis technique for mining spatio-temporal data. The technique has been applied to mine for patterns in weather data using the North Atlantic Oscillation (NAO) as a specific example. We find that the strongest independent components match the observed synoptic weather patterns corresponding to the NAO. We also validate our results by matching the independent component activities with the NAO index.
Cite
Text
Basak et al. "Weather Data Mining Using Independent Component Analysis." Journal of Machine Learning Research, 2004.Markdown
[Basak et al. "Weather Data Mining Using Independent Component Analysis." Journal of Machine Learning Research, 2004.](https://mlanthology.org/jmlr/2004/basak2004jmlr-weather/)BibTeX
@article{basak2004jmlr-weather,
title = {{Weather Data Mining Using Independent Component Analysis}},
author = {Basak, Jayanta and Sudarshan, Anant and Trivedi, Deepak and Santhanam, M. S.},
journal = {Journal of Machine Learning Research},
year = {2004},
pages = {239-253},
volume = {5},
url = {https://mlanthology.org/jmlr/2004/basak2004jmlr-weather/}
}