Handbook of cluster analysis. (2016)
- Record Type:
- Book
- Title:
- Handbook of cluster analysis. (2016)
- Main Title:
- Handbook of cluster analysis
- Further Information:
- Note: Edited by Christian M. Hennig, Marina Meila, Fionn Murtagh, Roberto Rocci.
- Editors:
- Hennig, Christian M
Meilă, Marina, 1962-
Murtagh, Fionn
Rocci, Roberto - 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 DensityCluster 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 … (more)
- Edition:
- 1st
- Publisher Details:
- Boca Raton : Chapman & Hall/CRC
- Publication Date:
- 2016
- Extent:
- 1 online resource, illustrations (black and white)
- Subjects:
- 519.53
Cluster analysis
Spatial analysis (Statistics) - Languages:
- English
- ISBNs:
- 9781466551893
- Related ISBNs:
- 9781466551886
- Notes:
- Note: Includes bibliographical references and index.
Note: Description based on CIP data; item not viewed. - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.216275
- Ingest File:
- 02_262.xml