Anant Sudarshan
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Weather Data Mining Using Independent Component Analysis
(with Jayanta Basak, Deepak Trivedi and M.S Santhanam)
Other Academic Research

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.

Project Status: Completed
[India's Energy Security]

[Can Economic Schemes Change China's Sex Ratio]

[Weather Data Mining using Independent Component Analysis]

Presentations and Papers

Peer Reviewed Article, Journal of Machine Learning Research, 2004
Email: anants(at)uchicago(dot)edu
Saieh Hall, 1160 E 58th St. Chicago - 60637, IL