Natural Computing for Unsupervised Learning
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- Artikel-Nr.: 10475954
Beschreibung
Introduction.- Part I - Basic Natural Computing Techniques for Unsupervised Learning.- Hard Clustering using Evolutionary Algorithms.- Soft Clustering using Evolutionary Algorithms.- Fuzzy / Rough Set Systems for Unsupervised Learning.- Unsupervised Feature Selection using Evolutionary Algorithms.- Unsupervised Feature Selection using Artificial Neural Networks.- Part II - Advanced Natural Computing Techniques for Unsupervised Learning.- Hybrid Genetic Algorithms for Feature Subset Selection in Model-Based Clustering.- Nature-Inspired Optimization Approaches for Unsupervised Feature Selection.- Co-Evolutionary Approaches for Unsupervised Learning.- Mining Evolving Patterns using Natural Computing Techniques.- Multi-objective Optimization for Unsupervised Learning.- Many-objective Optimization for Unsupervised Learning.- Part III - Applications.- Unsupervised Identification of DNA-binding Proteins using Natural Computing Techniques.- Parallel Solution-based Natural Clustering Techniques on Railway Engineering data.- Natural Computing Techniques for Community Detection on Online Social Networks.- Big Data Challenges and Scalability in Natural Computing for Unsupervised Learning.- Conclusion.
Eigenschaften
Breite: | 161 |
Gewicht: | 564 g |
Höhe: | 237 |
Länge: | 27 |
Seiten: | 273 |
Sprachen: | Englisch |
Autor: | Ka-Chun Wong, Xiangtao Li |
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