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Chiosa, Iurie: Efficient and high quality clusteringEffiziente und hochqualitative Clusterbildung. 2010
Inhalt
Abstract
Zusammenfassung
Contents
List of Abbreviations
1 Introduction
1.1 Overall Goals
1.2 My Contributions
1.3 Outline
2 Mesh and Data Clustering Algorithms
2.1 Mesh Clustering
2.2 Data Clustering
2.3 GPU-based Processing
3 Energy Minimization by Local Optimization
3.1 CVD-based Mesh Coarsening
3.2 Adaptive CVD-based Mesh Coarsening
3.3 Energy Minimization by Local Optimization
3.4 Conclusions
4 Multilevel (ML) Mesh Clustering
4.1 The Multilevel Clustering Algorithm
4.2 Realizing Multilevel Mesh Clustering
4.3 Multilevel Data Structure
4.4 Multilevel Mesh Clustering Results
4.5 Different Variants of the Multilevel Clustering
4.6 Conclusions
5 GPU-based Mesh Clustering
5.1 Parallel Mesh Clustering
5.2 GPU-based Mesh Clustering
5.3 GPU-based Mesh Clustering Results
5.4 Conclusions
6 GPU-based Data Clustering
6.1 Neighborhood Identification and Tracking
6.2 Local Neighbors K-Means
6.3 Multilevel Data Clustering
6.4 GPU Implementation Details
6.5 GPU-based Data Clustering Results
6.6 Identifying the Number of Clusters
6.7 Conclusions
Summary and Future Work
Appendix A Proof of Proposition 3.1
Appendix B Compute Cluster’s Local Neighbors
Bibliography