Wan Zhang. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (leaves 91-103). / Abstracts in English and Chinese. / Abstract --- p.ii / Acknowledgement --- p.v / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Introduction to Classification --- p.1 / Chapter 1.2 --- Problem Definition --- p.4 / Chapter 1.3 --- Major Contributions --- p.6 / Chapter 1.4 --- Thesis Organization --- p.7 / Chapter 2 --- Literature Review --- p.8 / Chapter 2.1 --- Fisher's Linear Discriminant --- p.8 / Chapter 2.2 --- Radial Basis Function Networks --- p.9 / Chapter 2.3 --- Decision Tree --- p.10 / Chapter 2.4 --- Nearest Neighbor --- p.12 / Chapter 2.5 --- Support Vector Machine --- p.13 / Chapter 2.5.1 --- Linear Separable Case --- p.14 / Chapter 2.5.2 --- Non Linear-separable Case --- p.15 / Chapter 2.5.3 --- Nonlinear Case --- p.18 / Chapter 2.5.4 --- Multi-class SVM --- p.19 / Chapter 2.5.5 --- RSVM --- p.21 / Chapter 2.6 --- Summary --- p.23 / Chapter 3 --- Computational Geometry --- p.25 / Chapter 3.1 --- Convex hull --- p.26 / Chapter 3.1.1 --- Separable Case --- p.26 / Chapter 3.1.2 --- Inseparable Case --- p.28 / Chapter 3.2 --- Proximity Graph --- p.32 / Chapter 3.2.1 --- Voronoi Diagram and Delaunay Triangulation --- p.32 / Chapter 3.2.2 --- Gabriel Graph and Relative Neighborhood Graph --- p.34 / Chapter 3.2.3 --- β-skeleton --- p.36 / Chapter 4 --- Data Editing --- p.39 / Chapter 4.1 --- Hart's Condensed Rule and Its Relatives --- p.39 / Chapter 4.2 --- Order-independent Subsets --- p.40 / Chapter 4.3 --- Minimal Size Training-set Consistent Subsets --- p.40 / Chapter 4.4 --- Proximity Graph Methods --- p.41 / Chapter 4.5 --- Comparing Results of Different Classifiers with Edited Dataset as the Training Set --- p.42 / Chapter 4.5.1 --- Time Complexity --- p.47 / Chapter 4.5.2 --- Editing Size of Training Data --- p.48 / Chapter 4.5.3 --- Accuracy --- p.50 / Chapter 4.5.4 --- Efficiency --- p.54 / Chapter 4.5.5 --- Summary --- p.58 / Chapter 5 --- Techniques Speeding Up Data Editing --- p.60 / Chapter 5.1 --- Parallel Computing --- p.61 / Chapter 5.1.1 --- Basic Idea of Parallel --- p.61 / Chapter 5.1.2 --- Details of Parallel Technique --- p.63 / Chapter 5.1.3 --- Comparing Effects of the Choice of Number of Threads on Efficiency --- p.64 / Chapter 5.2 --- Tree Indexing Structure --- p.67 / Chapter 5.2.1 --- R-tree and R*-tree --- p.67 / Chapter 5.2.2 --- SS-tree --- p.69 / Chapter 5.2.3 --- SR-tvee --- p.70 / Chapter 5.2.4 --- β-neighbor Algorithm Based on SR-tree Structure --- p.71 / Chapter 5.2.5 --- Pruning Search Space for β-neighbor Algorithm --- p.72 / Chapter 5.2.6 --- Comparing Results of Non-index Methods with Those of Methods with Indexing --- p.80 / Chapter 5.3 --- Combination of Parallelism and SR-tree Indexing Structure --- p.83 / Chapter 5.3.1 --- Comparing Results of Both Techniques Applied --- p.84 / Chapter 5.4 --- Summary --- p.87 / Chapter 6 --- Conclusion --- p.89 / Bibliography --- p.91
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_324428 |
| Date | January 2003 |
| Contributors | Wan, Zhang., Chinese University of Hong Kong Graduate School. Division of Computer Science and Engineering. |
| Source Sets | The Chinese University of Hong Kong |
| Language | English, Chinese |
| Detected Language | English |
| Type | Text, bibliography |
| Format | print, xiii, 103 leaves : ill. ; 30 cm. |
| Rights | Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
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