Discriminant Analysis for Dimensionality Reduction: An Overview of Recent Developments

This chapter contains sections titled:

• Introduction

• Overview of Linear Discriminant Analysis

• A Unified Framework for Generalized LDA

• A Least Squares Formulation for LDA

• Semisupervised LDA

• Extensions to Kernel-Induced Feature Space

• Other LDA Extensions

• Conclusion

• References

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