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New Developments in Classification and Data Analysis

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Cover of 'New Developments in Classification and Data Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Multi-Class Budget Exploratory Trees
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    Chapter 2 Methods to Compare Nonparametric Classifiers and to Select the Predictors
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    Chapter 3 Variable Selection in Cell Classification Problems: A Strategy Based on Independent Component Analysis
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    Chapter 4 Simplifying Classification Trees Through Consensus Methods
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    Chapter 5 Selecting the Training Set in Classification Problems with Rare Events
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    Chapter 6 A Classification and Discrimination Integrated Strategy Conducted on Symbolic Data for Missing Data Treatment in Questionnaire Survey
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    Chapter 7 A Collinearity Based Hierarchical Method to Identify Clusters of Variables
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    Chapter 8 On the Dynamic Time Warping for Computing the Dissimilarity Between Curves
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    Chapter 9 Metrics in Symbolic Data Analysis
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    Chapter 10 Constrained Clusterwise Linear Regression
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    Chapter 11 Crossed Clustering Method on Symbolic Data Tables
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    Chapter 12 Some Statistical Applications of Centrosymmetric Matrices
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    Chapter 13 Selection of Structural Equation Models with the PLS-VB Programme
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    Chapter 14 New Developments in Classification and Data Analysis
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    Chapter 15 Data Dependent Prior Modeling and Estimation in Contingency Tables: The Order-Restricted RC Model
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    Chapter 16 PLS Typological Regression: Algorithmic, Classification and Validation Issues
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    Chapter 17 Weighted Metric Multidimensional Scaling
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    Chapter 18 An Improved Majorization Algorithm for Robust Procrustes Analysis
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    Chapter 19 Generalized Bi-Additive Modelling for Categorical Data
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    Chapter 20 Model Selection Procedures in Three-Mode Component Models
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    Chapter 21 Principal Component Analysis for Non-Precise Data
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    Chapter 22 A New Version of the Structural Dynamic Model with Unique Latent Scores
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    Chapter 23 Some Issues About the Use of Experts
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    Chapter 24 Nonparametric Methods in Survey Sampling
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    Chapter 25 A Different Approach for the Analysis of Web Access Logs
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    Chapter 26 Blending Statistics and Graphics in Visual Data Mining
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    Chapter 27 Confidence Regions in Multivariate Calibration: A Proposal
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    Chapter 28 Nonparametric Analysis of Air Pollution Indices Compositions
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    Chapter 29 VAR Models for Spatio-temporal Structures: An Application to Environmental Data
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    Chapter 30 Analysis of Spatial Covariance Structure for Environmental Data
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    Chapter 31 Bayesian Clustering of Gene Expression Dynamics: An Application
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    Chapter 32 A Hierarchical Mixture Model for Gene Expression Data
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    Chapter 33 Sequence Analysis of BHPS Life Course Data
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    Chapter 34 Robust Multivariate Methods for the Analysis of the University Performance
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    Chapter 35 Some Insights into the Evolution of 1990s' Standard Italian Using Text Mining Techniques and Automatic Categorization
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    Chapter 36 Evaluating Undergraduate Education Through Multiple Choice Tests
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    Chapter 37 A New Approach in Business Travel Survey: Multivariate Techniques for Strata Design
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    Chapter 38 Value-Orientations and Partnership
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    Chapter 39 An Item Response Theory Model for Student Ability Evaluation Using Computer-Automated Test Results
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    Chapter 40 Functional Cluster Analysis of Financial Time Series
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    Chapter 41 The Role of the Normal Distribution in Financial Markets
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    Chapter 42 Functional Principal Component Analysis of Financial Time Series
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    Chapter 43 Elliptically Symmetric Distributions: A Review of Achieved Results and Open Issues
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Title
New Developments in Classification and Data Analysis
Published by
Springer Berlin Heidelberg, March 2006
DOI 10.1007/b138989
ISBNs
978-3-54-023809-6, 978-3-54-027373-8
Editors

Bock, H.-H., Gaul, W., Vichi, M., Arabie, Ph., Baier, D., Critchley, F., Decker, R., Diday, E., Greenacre, M., Lauro, C., Meulman, J., Monari, P., Nishisato, S., Ohsumi, N., Opitz, O., Ritter, G., Schader, M., Weihs, C., Vichi, Maurizio, Monari, Paola, Mignani, Stefania, Montanari, Angela

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 8%
Student > Bachelor 2 8%
Student > Master 2 8%
Lecturer > Senior Lecturer 1 4%
Unknown 17 71%
Readers by discipline Count As %
Neuroscience 2 8%
Mathematics 1 4%
Computer Science 1 4%
Agricultural and Biological Sciences 1 4%
Psychology 1 4%
Other 1 4%
Unknown 17 71%