Combined Cluster Analysis and Principal Component Analysis to Reduce Data Complexity for Exhaust Air Purification

Abstract

Anthropogenic and demographic processes cause worldwide air problems, giving rise to focus on exhaust air purification to counteract these effects. Due to the large number of substances found in exhaust air and the various operational parameters needed, a huge amount of often high dimensional data has to be analyzed. The ultimate goal is to finally reduce… (More)

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Cite this paper

@inproceedings{Ebeling2013CombinedCA, title={Combined Cluster Analysis and Principal Component Analysis to Reduce Data Complexity for Exhaust Air Purification}, author={Bastian Ebeling}, year={2013} }