Correlation-assisted nearest shrunken centroid classifier with applications for high dimensional spectral data

Keyphrases

• Spectral Data 100%
• Nearest Shrunken Centroids Classifier 100%
• Correlation Structure 66%
• Class Centroid 50%
• Soft Independent Modeling of Class Analogy (SIMCA) 50%
• Structure Information 33%
• Real-time Data Analysis 33%
• Correlation Information 33%
• Two-source 16%
• Chemical Studies 16%
• Strong Correlation 16%
• Classification Accuracy 16%
• Simulation Study 16%
• Classification Methods 16%
• Linear Discriminant Analysis 16%
• Discriminatory Information 16%
• Spectral Information 16%
• Chemometrics 16%
• High-dimensional Feature Space 16%
• High-throughput Data 16%
• New Correlation 16%
• Sample Covariance Matrix 16%
• Independence Rule 16%
• Meaning Structure 16%
• Information Class 16%
• Spectral Variables 16%
• Large p Small n 16%

Computer Science

• Correlation Information 100%
• High Throughput 50%
• Linear Discriminant Analysis 50%
• Throughput Data 50%
• Class Information 50%
• Essential Characteristic 50%
• Simulation Study 50%
• Dimensional Feature Space 50%
• Spectral Information 50%
• Sample Covariance Matrix 50%
• Misclassification Rate 50%

Mathematics

• Centroid 100%
• Correlation Structure 44%
• Real Data 22%
• Simulation Study 11%
• Variance 11%
• Sample Covariance Matrix 11%
• Discriminant Analysis 11%
• Dimensional Feature Space 11%