Non-Standard Parameter Adaptation for Exploratory Data Analysis

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.