Classification as a Tool for Research: Proceedings of the 11th Ifcs Biennial Conference and 33rd Annual Conference of the Gesellschaft F? Klassifikat (Paperback)

(Semi-) Plenary Presentations.- Hierarchical Clustering with Performance Guarantees.- Alignment Free String Distances for Phylogeny.- Data Quality Dependent Decision Making in Pattern Classification.- Clustering Proteins and Reconstructing Evolutionary Events.- Microarray Dimension Reduction Based on Maximizing Mantel Correlation Coefficients Using a Genetic Algorithm Search Strategy.- Classification and Data Analysis.- Multiparameter Hierarchical Clustering Methods.- Unsupervised Sparsification of Similarity Graphs.- Simultaneous Clustering and Dimensionality Reduction Using Variational Bayesian Mixture Model.- A Partitioning Method for the Clustering of Categorical Variables.- Treed Gaussian Process Models for Classification.- Ridgeline Plot and Clusterwise Stability as Tools for Merging Gaussian Mixture Components.- Clustering with Confidence: A Low-Dimensional Binning Approach.- Local Classification of Discrete Variables by Latent Class Models.- A Comparative Study on Discrete Discriminant Analysis through a Hierarchical Coupling Approach.- A Comparative Study of Several Parametric and Semiparametric Approaches for Time Series Classification.- Finite Dimensional Representation of Functional Data with Applications.- Clustering Spatio-Functional Data: A Model Based Approach.- Use of Mixture Models in Multiple Hypothesis Testing with Applications in Bioinformatics.- Finding Groups in Ordinal Data: An Examination of Some Clustering Procedures.- An Application of One-mode Three-way Overlapping Cluster Analysis.- Evaluation of Clustering Results: The Trade-off Bias-Variability.- Cluster Structured Multivariate Probability Distribution with Uniform Marginals.- Analysis of Diversity-Accuracy Relations in Cluster Ensemble.- Linear Discriminant Analysis with more Variables than Observations: A not so Naive Approach.- Fast Hierarchical Clustering from the Baire Distance.- The Trend Vector Model: Identification and Estimation in SAS.- Discrete Beta-Type Models.- The R Package DAKS: Basic Functions and Complex Algorithms in Knowledge Space Theory.- Methods for the Analysis of Skew-Symmetry in Asymmetric Multidimensional Scaling.- Canonical Correspondence Analysis in Social Science Research.- Exploring Data Through Archetypes.- Exploring Sensitive Topics: Sensitivity, Jeopardy, and Cheating.- Sampling the Join of Streams.- The R Package fechner for Fechnerian Scaling.- Asymptotic Behaviour in Symbolic Markov Chains.- An Interactive Graphical System for Visualizing Data Quality-Tableplot Graphics.- Symbolic Multidimensional Scaling Versus Noisy Variables and Outliers.- Principal Components Analysis for Trapezoidal Fuzzy Numbers.- Factor Selection in Observational Studies - An Application of Nonlinear Factor Selection to Propensity Scores.- Nonlinear Mapping Using a Hybrid of PARAMAP and Isomap Approaches.- Dimensionality Reduction Techniques for Streaming Time Series: A New Symbolic Approach.- A Batesian Semiparametric Generalized Linear Model with Random Effects Using Dirichlet Process Priors.- Exact Confidence Intervals for Odds Ratios with Algebraic Statistics.- The CHIC Analysis Software v1.0.- Applications.- Clustering the Roman Heaven: Uncovering the Religious Structures in the Roman Province Germania Superior.- Geochemical and Statistical Investigation of Roman Stamped Tiles of the Legio XXI Rapax.- Land Cover Classification by Multisource Remote Sensing: Comparing Classifiers for Spatial Data.- Are there Cluster of Communities with the Same Dynamic Behaviour?.- Land Cover Detection with Unsupervised Clustering and Hierarchical Partitioning.- Using Advanced Regression Models for Determining Optimal Soil Heterogeneity Indicators.- Local Analysis of SNP Data.- Airborne Particulate Matter and Adverse Health Events: Robust Estimation of Timescale Effects.- Identification of Specific Genomic Regions Responsible for the Invasivity of Neisseria Meningitidis.- Classification of ABC Transporters Using Community Detection.- Estimation o