Sea surface temperature clustering and prediction in the Pacific Ocean based on isometric feature mapping analysis

Sea surface temperature clustering and prediction in the Pacific Ocean based on isometric feature mapping analysis

Abstract Isometric feature mapping (ISOMAP) is a nonlinear dimensionality reduction method and closely reflects the actual nonlinear distance by the view of tracing along the local linearity in the original nonlinear structure. Thus, the first leading 20 principal components (PCs) of low-dimensional...

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Bibliographic Details
Main Authors: John Chien-Han Tseng, Bo-An Tsai, Kaoshen Chung
Format: Article
Language:English
Published: SpringerOpen 2023-09-01
Series:Geoscience Letters
Subjects:
Anomaly correlation coefficient
ISOMAP
k-means
Neural network
Principal component analysis
Principal component
Online Access:https://doi.org/10.1186/s40562-023-00295-6

Internet

https://doi.org/10.1186/s40562-023-00295-6

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