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Title Handbook of cluster analysis / edited by Christian M. Hennig, Marina Meila, Fionn Murtagh, Roberto Rocci
Edition 1st
Published Boca Raton : Chapman & Hall/CRC, 2016
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Description 1 online resource : illustrations (black and white)
Series Chapman & Hall/CRC handbooks of modern statistical methods ; 9
Notes <P>Cluster Analysis: An Overview <BR><I>Christian M. Hennig and Marina Meila<BR></I>A Brief History of Cluster Analysis <BR><I>Fionn Murtagh</P></I><P></P><B><P>Optimization Methods<BR></B>Quadratic Error and k-Means <BR><I>Boris Mirkin<BR>K</I>-Medoids and Other Criteria for Crisp Clustering <BR><I>Douglas Steinley<BR></I>Foundations for Center-Based Clustering: Worst-Case Approximations and Modern Developments <BR><I>Pranjal Awasthi and Maria Florina Balcan</P><P></P></I><B><P>Dissimilarity-Based Methods<BR></B>Hierarchical Clustering <BR><I>Pedro Contreras and Fionn Murtagh<BR></I>Spectral Clustering <BR><I>Marina Meila</P><P></P></I><B><P>Methods Based on Probability Models<BR></B>Mixture Models for Standard <I>p</I>-Dimensional Euclidean Data <BR><I>Geoffrey J. McLachlan and Suren I. Rathnayake<BR></I>Latent Class Models for Categorical Data <BR><I>G. Celeux and Gérard Govaert<BR></I>Dirichlet Process Mixtures and Nonparametric Bayesian Approaches to Clustering <BR><I>Vinayak Rao<BR></I>Finite Mixtures of Structured Models <BR><I>Marco Alfó and Sara Viviani<BR></I>Time-Series Clustering <BR><I>Jorge Caiado, Elizabeth Ann Maharaj, and Pierpaolo D'Urso<BR></I>Clustering Functional Data <BR><I>David B. Hitchcock and Mark C. Greenwood<BR></I>Methods Based on Spatial Processes <BR><I>Lisa Handl, Christian Hirsch, and Volker Schmidt<BR></I>Significance Testing in Clustering <BR><I>Hanwen Huang, Yufeng Liu, David Neil Hayes, Andrew Nobel, J.S. Marron, and Christian M. Hennig<BR></I>Model-Based Clustering for Network Data <BR><I>Thomas Brendan Murphy</P><P></P></I><B><P>Methods Based on Density Modes and Level Sets<BR></B>A Formulation in Modal Clustering Based on Upper Level Sets <BR><I>Adelchi Azzalini<BR></I>Clustering Methods Based on Kernel Density Estimators: Mean-Shift Algorithms <BR><I>Miguel Á. Carreira-Perpiñán<BR></I>Nature-Inspired Clustering <BR><I>Julia Handl and Joshua Knowles</P><P></P></I><B><P>Specific Cluster and Data Formats<BR></B>Semi-Supervised Clustering <BR><I>Anil Jain, Rong Jin, and Radha Chitta<BR></I>Clustering of Symbolic Data <BR><I>Paula Brito<BR></I>A Survey of Consensus Clustering <BR><I>Joydeep Ghosh and Ayan Acharya<BR></I>Two-Mode Partitioning and Multipartitioning <BR><I>Maurizio Vichi<BR></I>Fuzzy Clustering <BR><I>Pierpaolo D'Urso<BR></I>Rough Set Clustering <BR><I>Ivo Düntsch and Günther Gediga</P></I><P></P><B><P>Cluster Validation and Further General Issues<BR></B>Method-Independent Indices for Cluster Validation and Estimating the Number of Clusters <BR><I>Maria Halkidi, Michalis Vazirgiannis, and Christian M. Hennig<BR></I>Criteria for Comparing Clusterings <BR><I>Marina Meila<BR></I>Resampling Methods for Exploring Cluster Stability <BR><I>Friedrich Leisch<BR></I>Robustness and Outliers <BR><I>L.A. García-Escudero, A. Gordaliza, C. Matrán, A. Mayo-Iscar, and Christian M. Hennig<BR></I>Visual Clustering for Data Analysis and Graphical User Interfaces <BR><I>Sébastien Déjean and Josiane Mothe<BR></I>Clustering Strategy and Method Selection <BR><I>Christian M. Hennig</P></I>
Bibliography Includes bibliographical references and index
Notes Description based on CIP data; item not viewed
Subject Cluster analysis.
Spatial analysis (Statistics)
Cluster analysis.
Spatial analysis (Statistics)
Form Electronic book
Author Hennig, Christian M., editor.
Meilă, Marina, 1962- editor.
Murtagh, Fionn, editor.
Rocci, Roberto, editor.
ISBN 1466551895
9781466551893