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

Keyphrases

• Sea Surface Temperature 100%
• Pacific Ocean 100%
• Mapping Analysis 100%
• Isomap 100%
• Neural Network Model 20%
• Numerical Model 20%
• Oscillation 20%
• Forecast Skill 20%
• K-means 20%
• Central Pacific 20%
• Root Mean Square Error 20%
• Cluster-based 20%
• Machine Learning Algorithms 20%
• Least Squares Support Vector Regression (LSSVR) 20%
• Regression Neural Network 20%
• Low-dimensional Space 20%
• Feedforward Neural Network 20%
• Eastern Pacific 20%
• Nonlinear Structures 20%
• Two-dimensional Cluster 20%
• Nonlinear Dimensionality Reduction 20%
• Orthogonal Basis 20%
• Error Correlation Coefficient 20%
• Real Structure 20%
• Anomaly Correlation Coefficient 20%
• Cluster Map 20%
• Local Linearity 20%

Engineering

• Principal Components 100%
• Ocean Surface 100%
• Network Model 33%
• Numerical Model 33%
• Two Dimensional 33%
• Dimensionality 33%
• Dimensional Space 33%
• Root Mean Square Error 33%
• Machine Learning Algorithm 33%
• Feedforward 33%
• Orthogonal Basis 33%
• Support Vector Machine 33%

Earth and Planetary Sciences

• Sea Surface Temperature 100%
• Pacific Ocean 100%
• Numerical Model 33%
• Central Pacific 33%
• Correlation Coefficient 33%
• Root-Mean-Square Error 33%
• Machine Learning 33%
• Clustering 33%
• Support Vector Machine 33%