TY - GEN
T1 - Principal component analysis of complex data and application to climatology
AU - Camiz, Sergio
AU - Creta, Silvia
N1 - Publisher Copyright:
© Springer International Publishing AG 2018.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Complex principal component analysis
KW - El Niño
KW - Principal component analysis
UR - http://www.scopus.com/inward/record.url?scp=85049879414&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-55708-3_9
DO - 10.1007/978-3-319-55708-3_9
M3 - Conference contribution
AN - SCOPUS:85049879414
SN - 9783319557076
SN - 9783319557229
SN - 9783540238096
T3 - Studies in Classification, Data Analysis, and Knowledge Organization
SP - 77
EP - 85
BT - Studies in Classification, Data Analysis, and Knowledge Organization
A2 - Mola, Francesco
A2 - Conversano, Claudio
A2 - Vichi, Maurizio
PB - Springer Science and Business Media Deutschland GmbH
T2 - 10th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society, CLADAG 2015
Y2 - 8 October 2015 through 10 October 2015
ER -