Abstract
For the study of El Niño phenomenon, winds data collected from the Equator belt of Pacific ocean would be analyzed through PCA. In this paper, the 2-dimensional nature of winds is discussed in respect to the possible ways in which PCA may be implemented. Among others, complex PCA is proposed and compared on a small example to other methods based on real PCA. Then, the first results on a larger data table are illustrated.
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Camiz, S., Creta, S. (2018). Principal Component Analysis of Complex Data and Application to Climatology. In: Mola, F., Conversano, C., Vichi, M. (eds) Classification, (Big) Data Analysis and Statistical Learning. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham. https://doi.org/10.1007/978-3-319-55708-3_9
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DOI: https://doi.org/10.1007/978-3-319-55708-3_9
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