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...
| Κύριοι συγγραφείς: | , , |
|---|---|
| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2009.
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| Σειρά: | Studies in Computational Intelligence,
249 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
