声明
Chapter 1 Introduction
1.1 Background
1.2 Dimension reduction
1.3 Challenges in neighborhood related DR techniques
1.4 Data classification
1.5 Challenges in nearest neighbor classifiers
1.6 Research contributions
1.7 The organization of thesis
Chapter 2 Related Work
2.1 Related DR techniques
2.2 Nearest neighborhood based classifiers
Chapter 3 Weighted Neighborhood Preserving Ensemble Embedding
3.1 Introduction
3.2 The proposed WNPEE method
3.3 Experimental results and analysis
3.4 Brief summary
Chapter 4 Generalized Multi-manifold Graph Ensemble Embedding for Multi-View Dimensionality Reduction
4.1 Introduction
4.2 Proposed Methods
4.3 Experimental Results
4.4 Brief summary
Chapter 5 A New Nearest Centroid Neighbor Classifier Based on K Local Means Using Harmonic Mean Distance
5.1 Introduction
5.2 Description of LMKHNCN
5.3 Comparison with traditional KNN based classifiers
5.4 Experiment results and discussion
5.2 Brief summary
Chapter 6 General Conclusions and Future Works
6.1 General conclusions
6.2 Future works
参考文献
致谢
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