Classification, Clustering, and Data Analysis: Recent Advances and Applications

I. Clustering and Discrimination. - Clustering. - Some Thoughts about Classification. - Partial Defuzzification of Fuzzy Clusters. - A New Clustering Approach, Based on the Estimation of the Probability Density Function, for Gene Expression Data. - Two-mode Partitioning: Review of Methods and Application of Tabu Search. - Dynamical Clustering of Interval Data Optimization of an Adequacy Criterion Based on Hausdorff Distance. - Removing Separation Conditions in a 1 against 3-Components Gaussian Mixture Problem. - Obtaining Partitions of a Set of Hard or Fuzzy Partitions. - Clustering for Prototype Selection using Singular Value Decomposition. - Clustering in High-dimensional Data Spaces. - Quantization of Models: Local Approach and Asymptotically Optimal Partitions. - The Performance of an Autonomous Clustering Technique. - Cluster Analysis with Restricted Random Walks. - Missing Data in Hierarchical Classification of Variables - a Simulation Study. - Cluster Validation. - Representation and Evaluation of Partitions. - Assessing the Number of Clusters of the Latent Class Model. - Validation of Very Large Data Sets Clustering by Means of a Nonparametric Linear Criterion. - Discrimination. - Effect of Feature Selection on Bagging Classifiers Based on Kernel Density Estimators. - Biplot Methodology for Discriminant Analysis Based upon Robust Methods and Principal Curves. - Bagging Combined Classifiers. - Application of Bayesian Decision Theory to Constrained Classification Networks. - II. Multivariate Data Analysis and Statistics. - Multivariate Data Analysis. - Quotient Dissimilarities, Euclidean Embeddability, and Huygens' Weak Principle. - Conjoint Analysis and Stimulus Presentation - a Comparison of Alternative Methods. - Grade Correspondence-cluster Analysis Applied to Separate Components of Reversely Regular Mixtures. - Obtaining Reducts with a Genetic Algorithm. - A Projection Algorithm for Regression with Collinearity. - Confronting Data Analysis with Constructivist Philosophy. - Statistical Methods. - Maximum Likelihood Clustering with Outliers. - An Improved Method for Estimating the Modes of the Probability Density Function and the Number of Classes for PDF-based Clustering. - Maximization of Measure of Allowable Sample Sizes Region in Stratified Sampling. - On Estimation of Population Averages on the Basis of Cluster Sample. - Symbolic Data Analysis. - Symbolic Regression Analysis. - Modelling Memory Requirement with Normal Symbolic Form. - Mixture Decomposition of Distributions by Copulas. - Determination of the Number of Clusters for Symbolic Objects Described by Interval Variables. - Symbolic Data Analysis Approach to Clustering Large Datasets. - Symbolic Class Descriptions. - Consensus Trees and Phylogenetics. - A Comparison of Alternative Methods for Detecting Reticulation Events in Phylogenetic Analysis. - Hierarchical Clustering of Multiple Decision Trees. - Multiple Consensus Trees. - A Family of Average Consensus Methods for Weighted Trees. - Comparison of Four methods for Inferring Additive Trees from Incomplete Dissimilarity Matrices. - Quartet Trees as a Tool to Reconstruct Large Trees from Sequences. - Regression Trees. - Regression Trees for Longitudinal Data with Time-dependent Covariates. - Tree-based Models in Statistics: Three Decades of Research. - Computationally Efficient Linear Regression Trees. - Neural Networks and Genetic Algorithms. - A Clustering Based Procedure for Learning the Hidden Unit Parameters in Elliptical Basis Function Networks. - Multi-layer Perceptron on Interval Data. - III. Applications. - Textual Analysis of Customer Statements for Quality Control and Help Desk Support. - AHP as Support for Strategy Decision Making in Banking. - Bioinformatics and Classification: The Analysis of Genome Expression Data. - Glaucoma Diagnosis by Indirect Classifiers. - A Cluster Analysis of the Importance of Country and Sector on Company Returns. - Problems of Classification in Investigative Psychology. - List of Reviewers.