A two-stage linear discriminant analysis via QR-decomposition

Mathematics

• QR Decomposition 100%
• Linear Discriminant Analysis 95%
• Principal Component Analysis 28%
• Scatter 10%
• Dimension Reduction 10%
• Singularity 9%
• Text Classification 7%
• Image Classification 7%
• Generalized Singular Value Decomposition 6%
• Scalability 5%
• Centroid 5%
• High-dimensional Data 5%
• Singular value decomposition 4%
• Training 4%
• Justify 4%
• Text 4%
• Experiment 3%
• Relationships 2%
• Class 1%

Engineering & Materials Science

• Discriminant analysis 75%
• Principal component analysis 24%
• Singular value decomposition 9%
• Image classification 4%
• Scalability 3%
• Feature extraction 3%
• Experiments 1%

Medicine & Life Sciences

• Discriminant Analysis 79%
• Principal Component Analysis 28%