Ebook: Data Analysis, Classification, and Related Methods

This volume contains a selection of papers presented at the Seven~h Confer­ ence of the International Federation of Classification Societies (IFCS-2000), which was held in Namur, Belgium, July 11-14,2000. From the originally sub­ mitted papers, a careful review process involving two reviewers per paper, led to the selection of 65 papers that were considered suitable for publication in this book. The present book contains original research contributions, innovative ap­ plications and overview papers in various fields within data analysis, classifi­ cation, and related methods. Given the fast publication process, the research results are still up-to-date and coincide with their actual presentation at the IFCS-2000 conference. The topics captured are: • Cluster analysis • Comparison of clusterings • Fuzzy clustering • Discriminant analysis • Mixture models • Analysis of relationships data • Symbolic data analysis • Regression trees • Data mining and neural networks • Pattern recognition • Multivariate data analysis • Robust data analysis • Data science and sampling The IFCS (International Federation of Classification Societies) The IFCS promotes the dissemination of technical and scientific information data analysis, classification, related methods, and their applica­ concerning tions.

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The volume presents new developments in data analysis and classification, and gives a state of the art impression of these scientific fields at the turn of the Millennium. Areas that receive considerable attention in this book are Cluster Analysis, Data Mining, Multidimensional and Symbolic Data Analysis, Decision and Regression Trees. The volume contains a refereed selection of original research papers, overview papers, and innovative applications presented at the 7th Conference of the International Federation of Classification Societies (IFCS-2000), with contributions from eminent scientists all over the world. The reader finds introductory material into various areas and kaleidoscopic views of recent technical and methodological developments in widely different areas within data analysis and classification. The presence of a large number of application papers demonstrates the usefulness of the recently developed techniques.

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The volume presents new developments in data analysis and classification, and gives a state of the art impression of these scientific fields at the turn of the Millennium. Areas that receive considerable attention in this book are Cluster Analysis, Data Mining, Multidimensional and Symbolic Data Analysis, Decision and Regression Trees. The volume contains a refereed selection of original research papers, overview papers, and innovative applications presented at the 7th Conference of the International Federation of Classification Societies (IFCS-2000), with contributions from eminent scientists all over the world. The reader finds introductory material into various areas and kaleidoscopic views of recent technical and methodological developments in widely different areas within data analysis and classification. The presence of a large number of application papers demonstrates the usefulness of the recently developed techniques.
Content:
Front Matter....Pages I-XIII
Front Matter....Pages 1-1
Classifier Probabilities....Pages 3-15
Cluster Analysis Based on Data Depth....Pages 17-22
An Autonomous Clustering Technique....Pages 23-28
Unsupervised Non-hierarchical Entropy-based Clustering....Pages 29-34
Improving the Additive Tree Representation of a Dissimilarity Matrix Using Reticulations....Pages 35-40
Double Versus Optimal Grade Clusterings....Pages 41-46
The Effects of Initial Values and the Covariance Structure on the Recovery of some Clustering Methods....Pages 47-52
What Clusters Are Generated by Normal Mixtures?....Pages 53-58
A Bootstrap Procedure for Mixture Models....Pages 59-62
A New Criterion for Obtaining a Fuzzy Partition from a Hybrid Fuzzy/Hierarchical Clustering Method....Pages 63-68
Application of Fuzzy Mathematical Morphology for Unsupervised Color Pixels Classification....Pages 69-75
A Hyperbolic Fuzzt k-Means Clustering and Algorithm for Neural Networks....Pages 77-82
Classification of Single Malt Whiskies....Pages 83-88
Robust Approach in Hierarchical Clustering: Application to the Sectorisation of an Oil Field....Pages 89-94
A Minimax Solution for Sequential Classification Problems....Pages 95-100
Numerical Comparisons of two Spectral Decompositions for Vertex Clustering....Pages 101-106
Measures to Evaluate Rankings of Classification Algorithms....Pages 107-112
A General Approach to Test the Pertinence of a Consensus Classification....Pages 113-118
Front Matter....Pages 119-124
On a Class of Aggregation-invariant Dissimilarities Obeying the Weak Huygens’ Principle....Pages 125-130
A Short Optimal Way for Constructing Quasi-ultrametrics From Some Particular Dissimilarities....Pages 1-1
Estimating Missing Values in a Tree Distance....Pages 131-136
Estimating Trees From Incomplete Distance Matrices: A Comparison of Two Methods....Pages 137-141
Zero Replacement in Compositional Data Sets....Pages 143-148
EM Algorithm for Partially Known Labels....Pages 149-154
Front Matter....Pages 155-160
Detection of Company Failure and Global Risk Forecasting....Pages 161-166
Discriminant Analysis by Hierarchical Coupling in EDDA Context....Pages 167-167
Discrete Discriminant Analysis: The Performance of Combining Models by a Hierarchical Coupling Approach....Pages 169-174
Discrimination Based on the Atypicity Index versus Density Function Ratio....Pages 175-180
A Third Stage in Regression Tree Growing: Searching for Statistical Reliability....Pages 181-186
A New Sampling Strategy for Building Decision Trees from Large Databases....Pages 187-192
Generalized Additive Multi-Model for Classification and Prediction....Pages 193-198
Radial Basis Function Networks and Decision Trees in the Determination of a Classifier....Pages 199-204
Clustered Multiple Regression....Pages 205-210
Constructing Artificial Neural Networks for Censored Survival Data from Statistical Models....Pages 211-216
Visualisation and Classification with Artificial Life....Pages 217-222
Exploring the Periphery of Data Scatters: Are There Outliers?....Pages 223-228
Discriminant Analysis Tools for Non Convex Pattern Recognition....Pages 229-234
A Markovian Approach to Unsupervised Multidimensional Pattern Classification....Pages 235-240
Front Matter....Pages 241-246
An Algorithm with Projection Pursuit for Sliced Inverse Regression Model....Pages 247-252
Testing Constraints and Misspecification in VAR-ARCH Models....Pages 253-253
Goodness of Fit Measure Based on Sample Isotone Regression of Mokken Double Monotonicity Model....Pages 255-260
Fuzzy Time Arrays and Dissimilarity Measures For Fuzzy Time Trajectories....Pages 261-266
Three-Way Partial Correlation Measures....Pages 267-272
Statistical Models for Social Networks....Pages 273-278
Application of Simulated Annealing in some Multidimensional Scaling Problems....Pages 279-284
Data Analysis Based on Minimal Closed Subsets....Pages 285-295
A Robust Method for Multivariate Regression....Pages 297-302
Robust Methods for Complex Data Structures....Pages 303-308
Robust Methods for Canonical Correlation Analysis....Pages 309-314
Front Matter....Pages 315-320
From Data Analysis to Data Science....Pages 321-326
Evaluation of Data Quality and Data Analysis....Pages 327-327
Collapsibility and Collapsing Multidimensional Contingency Tables—Perspectives and Implications....Pages 329-334
Data Collected on the Web....Pages 335-340
Some Experimental Surveys on the WWW Environments in Japan....Pages 341-346
Bootstrap Goodness-of-fit Tests for Complex Survey Samples....Pages 347-352
Front Matter....Pages 353-358
Regression Analysis for Interval-Valued Data....Pages 359-365
Symbolic Approach to Classify Large Data Sets....Pages 367-367
Factorial Methods with Cohesion Constraints on Symbolic Objects....Pages 369-374
Front Matter....Pages 375-380
A Dynamical Clustering Algorithm for Multi-nominal Data....Pages 381-386
DB2SO: A Software for Building Symbolic Objects from Databases....Pages 367-367
Symbolic Data Analysis and the SODAS Software in Official Statistics....Pages 387-393
Strata Decision Tree SDA Software....Pages 395-400
Marking and Generalization by Symbolic Objects in the Symbolic Official Data Analysis Software....Pages 401-407
Back Matter....Pages 409-415
....Pages 417-422