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Non-Standard Parameter Adaptation for Exploratory Data Analysis
Exploratory data analysis, also known as data mining or knowledge discovery from databases, is typically based on the optimisation of a specific function of a dataset. Such optimisation is often performed with gradient descent or variations thereof. In this book, we first lay the groundwork by revie...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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| Edición: | 1st ed. 2009. |
| Colección: | Studies in Computational Intelligence,
249 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Review of Clustering Algorithms
- Review of Linear Projection Methods
- Non-standard Clustering Criteria
- Topographic Mappings and Kernel Clustering
- Online Clustering Algorithms and Reinforcement Learning
- Connectivity Graphs and Clustering with Similarity Functions
- Reinforcement Learning of Projections
- Cross Entropy Methods
- Artificial Immune Systems
- Conclusions.