Table of Contents
Cluster Analysis: An Overview
Christian M. Hennig and Marina Meila
A Brief History of Cluster Analysis
Fionn Murtagh
Optimization Methods
Quadratic Error and k-Means
Boris Mirkin
K-Medoids and Other Criteria for Crisp Clustering
Douglas Steinley
Foundations for Center-Based Clustering: Worst-Case Approximations and Modern Developments
Pranjal Awasthi and Maria Florina Balcan
Dissimilarity-Based Methods
Hierarchical Clustering
Pedro Contreras and Fionn Murtagh
Spectral Clustering
Marina Meila
Methods Based on Probability Models
Mixture Models for Standard p-Dimensional Euclidean Data
Geoffrey J. McLachlan and Suren I. Rathnayake
Latent Class Models for Categorical Data
G. Celeux and Gérard Govaert
Dirichlet Process Mixtures and Nonparametric Bayesian Approaches to Clustering
Vinayak Rao
Finite Mixtures of Structured Models
Marco Alfó and Sara Viviani
Time-Series Clustering
Jorge Caiado, Elizabeth Ann Maharaj, and Pierpaolo D’Urso
Clustering Functional Data
David B. Hitchcock and Mark C. Greenwood
Methods Based on Spatial Processes
Lisa Handl, Christian Hirsch, and Volker Schmidt
Significance Testing in Clustering
Hanwen Huang, Yufeng Liu, David Neil Hayes, Andrew Nobel, J.S. Marron, and Christian M. Hennig
Model-Based Clustering for Network Data
Thomas Brendan Murphy
Methods Based on Density Modes and Level Sets
A Formulation in Modal Clustering Based on Upper Level Sets
Adelchi Azzalini
Clustering Methods Based on Kernel Density Estimators: Mean-Shift Algorithms
Miguel Á. Carreira-Perpiñán
Nature-Inspired Clustering
Julia Handl and Joshua Knowles
Specific Cluster and Data Formats
Semi-Supervised Clustering
Anil Jain, Rong Jin, and Radha Chitta
Clustering of Symbolic Data
Paula Brito
A Survey of Consensus Clustering
Joydeep Ghosh and Ayan Acharya
Two-Mode Partitioning and Multipartitioning
Maurizio Vichi
Fuzzy Clustering
Pierpaolo D’Urso
Rough Set Clustering
Ivo Düntsch and Günther Gediga
Cluster Validation and Further General Issues
Method-Independent Indices for Cluster Validation and Estimating the Number of Clusters
Maria Halkidi, Michalis Vazirgiannis, and Christian M. Hennig
Criteria for Comparing Clusterings
Marina Meila
Resampling Methods for Exploring Cluster Stability
Friedrich Leisch
Robustness and Outliers
L.A. García-Escudero, A. Gordaliza, C. Matrán, A. Mayo-Iscar, and Christian M. Hennig
Visual Clustering for Data Analysis and Graphical User Interfaces
Sébastien Déjean and Josiane Mothe
Clustering Strategy and Method Selection
Christian M. Hennig