Studies in Classification, Data Analysis, and Knowledge Orga : Recent Advances and Applications - Krzystof Jajuga

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Studies in Classification, Data Analysis, and Knowledge Orga

Recent Advances and Applications

By: Krzystof Jajuga (Editor), Andrzej Sokolowski (Editor), Hans-Hermann Bock (Editor)

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Paperback | 26 June 2002

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508 Pages

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The present volume contains a selection of papers presented at the Eighth Conference of the International Federation of Classification Societies (IFCS) which was held in Cracow, Poland, July 16-19, 2002. All originally submitted papers were subject to a reviewing process by two independent referees, a procedure which resulted in the selection of the 53 articles presented in this volume. These articles relate to theoretical investigations as well as to practical applications and cover a wide range of topics in the broad domain of classifi- cation, data analysis and related methods. If we try to classify the wealth of problems, methods and approaches into some representative (partially over- lapping) groups, we find in particular the following areas: - Clustering - Cluster validation - Discrimination - Multivariate data analysis - Statistical methods - Symbolic data analysis - Consensus trees and phylogeny - Regression trees - Neural networks and genetic algorithms - Applications in economics, medicine, biology, and psychology. Given the international orientation of IFCS conferences and the leading role of IFCS in the scientific world of classification, clustering and data anal- ysis, this volume collects a representative selection of current research and modern applications in this field and serves as an up-to-date information source for statisticians, data analysts, data mining specialists and computer scientists.

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Preface
Some Thoughts about Classification	p. 5
Partial Defuzzification of Fuzzy Clusters	p. 27
A New Clustering Approach, Based on the Estimation of the Probability Density Function, for Gene Expression Data	p. 35
Two-mode Partitioning: Review of Methods and Application of Tabu Search	p. 43
Dynamical Clustering of Interval Data Optimization of an Adequacy Criterion Based on Hausdorff Distance	p. 53
Removing Separation Conditions in a 1 against 3-Components Gaussian Mixture Problem	p. 61
Obtaining Partitions of a Set of Hard or Fuzzy Partitions	p. 75
Clustering for Prototype Selection using Singular Value Decomposition	p. 81
Clustering in High-dimensional Data Spaces	p. 89
Quantization of Models: Local Approach and Asymptotically Optimal Partitions	p. 97
The Performance of an Autonomous Clustering Technique	p. 107
Cluster Analysis with Restricted Random Walks	p. 113
Missing Data in Hierarchical Classification of Variables - a Simulation Study	p. 121
Representation and Evaluation of Partitions	p. 131
Assessing the Number of Clusters of the Latent Class Model	p. 139
Validation of Very Large Data Sets Clustering by Means of a Nonparametric Linear Criterion	p. 147
Effect of Feature Selection on Bagging Classifiers Based on Kernel Density Estimators	p. 161
Biplot Methodology for Discriminant Analysis Based upon Robust Methods and Principal Curves	p. 169
Bagging Combined Classifiers	p. 177
Application of Bayesian Decision Theory to Constrained Classification Networks	p. 185
Quotient Dissimilarities, Euclidean Embeddability, and Huygens' Weak Principle	p. 195
Conjoint Analysis and Stimulus Presentation - a Comparison of Alternative Methods	p. 203
Grade Correspondence-cluster Analysis Applied to Separate Components of Reversely Regular Mixtures	p. 211
Obtaining Reducts with a Genetic Algorithm	p. 219
A Projection Algorithm for Regression with Collinearity	p. 227
Confronting Data Analysis with Constructivist Philosophy	p. 235
Maximum Likelihood Clustering with Outliers	p. 247
An Improved Method for Estimating the Modes of the Probability Density Function and the Number of Classes for PDF-based Clustering	p. 257
Maximization of Measure of Allowable Sample Sizes Region in Stratified Sampling	p. 263
On Estimation of Population Averages on the Basis of Cluster Sample	p. 271
Symbolic Regression Analysis	p. 281
Modelling Memory Requirement with Normal Symbolic Form	p. 289
Mixture Decomposition of Distributions by Copulas	p. 297
Determination of the Number of Clusters for Symbolic Objects Described by Interval Variables	p. 311
Symbolic Data Analysis Approach to Clustering Large Datasets	p. 319
Symbolic Class Descriptions	p. 329
A Comparison of Alternative Methods for Detecting Reticulation Events in Phylogenetic Analysis	p. 341
Hierarchical Clustering of Multiple Decision Trees	p. 349
Multiple Consensus Trees	p. 359
A Family of Average Consensus Methods for Weighted Trees	p. 365
Comparison of Four methods for Inferring Additive Trees from Incomplete Dissimilarity Matrices	p. 371
Quartet Trees as a Tool to Reconstruct Large Trees from Sequences	p. 379
Regression Trees for Longitudinal Data with Time-dependent Covariates	p. 391
Tree-based Models in Statistics: Three Decades of Research	p. 399
Computationally Efficient Linear Regression Trees	p. 409
A Clustering Based Procedure for Learning the Hidden Unit Parameters in Elliptical Basis Function Networks	p. 419
Multi-layer Perceptron on Interval Data	p. 427
Textual Analysis of Customer Statements for Quality Control and Help Desk Support	p. 437
AHP as Support for Strategy Decision Making in Banking	p. 447
Bioinformatics and Classification: The Analysis of Genome Expression Data	p. 455
Glaucoma Diagnosis by Indirect Classifiers	p. 463
A Cluster Analysis of the Importance of Country and Sector on Company Returns	p. 471
Problems of Classification in Investigative Psychology	p. 479
List of Reviewers	p. 489
Index	p. 491
Table of Contents provided by Blackwell. All Rights Reserved.

Studies in Classification, Data Analysis, and Knowledge Orga

Recent Advances and Applications

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