by Jiawei Han 1. Cluster Analysis: An Introduction 2. Similarity Measures for Cluster Analysis 3. Partitioning-Based Clustering Methods 4. Hierarchical Clustering Methods 5. Density-Based and Grid-Based Clustering Methods 6. Probabilistic Model-Based Clustering Methods 7. Methods for Clustering Validation 8. Clustering High-Dimensional Data 9. Constraint-Based Clustering 10. Clustering Graphs and Networked Data 11. Cluster Analysis in Heterogeneous Networks 12. Advanced Topics and Applications 1. Cluster Analysis : An Introduction 1.1 Motivation & Definition Imagine you're the Director of Customer Relationships at AllElectronics , and you have five managers working for you. You would like to organize(or partition) all the company's customers into five groups so that each group can be assigned to a different manager. Strategically, you would like that the customers in each group are as similar as possible. Unlike in classification(i.e., supervised learning ), the class label...