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Non-Standard Parameter Adaptation for Exploratory Data Analysis

Non-Standard Parameter Adaptation for Exploratory Data Analysis

Paperback

Series: Studies in Computational Intelligence, Book 249

General ComputersGeneral MathematicsProbability & Statistics

ISBN10: 3642260551
ISBN13: 9783642260551
Publisher: Springer
Published: Mar 14 2012
Pages: 223
Weight: 0.75
Height: 0.51 Width: 6.14 Depth: 9.21
Language: English
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.

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