Table of Contents

• Fuzzification of Agglomerative Hierarchical Crisp Clustering AlgorithmsMathias Bank, Friedhelm Schwenker. 3-11 [doi]
• An EM Algorithm for the Student-t Cluster-Weighted ModelingSalvatore Ingrassia, Simona C. Minotti, Giuseppe Incarbone. 13-21 [doi]
• Analysis of Distribution Valued Dissimilarity DataMasahiro Mizuta, Hiroyuki Minami. 23-28 [doi]
• An Overall Index for Comparing Hierarchical ClusteringsIsabella Morlini, Sergio Zani. 29-36 [doi]
• An Accelerated K-Means Algorithm Based on Adaptive DistancesHans-Joachim Mucha, Hans-Georg Bartel. 37-47 [doi]
• Bias-Variance Analysis of Local Classification MethodsJulia Schiffner, Bernd Bischl, Claus Weihs. 49-57 [doi]
• Effect of Data Standardization on the Result of k-Means ClusteringKensuke Tanioka, Hiroshi Yadohisa. 59-67 [doi]
• A Case Study on the Use of Statistical Classification Methods in Particle PhysicsClaus Weihs, Olaf Mersmann, Bernd Bischl, Arno Fritsch, Heike Trautmann, Till Moritz Karbach, Bernhard Spaan. 69-77 [doi]
• Problems of Fuzzy c-Means Clustering and Similar Algorithms with High Dimensional Data SetsRoland Winkler, Frank Klawonn, Rudolf Kruse. 79-87 [doi]
• Reduced Versus Complete Space Configurations in Total Information AnalysisJosé G. Clavel, Shizuhiko Nishisato. 91-99 [doi]
• A Geometrical Interpretation of the Horseshoe Effect in Multiple Correspondence Analysis of Binary DataTakashi Murakami. 101-108 [doi]
• Quantification Theory: Reminiscence and a Step ForwardShizuhiko Nishisato. 109-119 [doi]
• Modelling Rater Differences in the Analysis of Three-Way Three-Mode Binary DataMichel Meulders. 123-131 [doi]
• Reconstructing One-Mode Three-way Asymmetric Data for Multidimensional ScalingAtsuho Nakayama, Akinori Okada. 133-141 [doi]
• Analysis of Car Switching Data by Asymmetric Multidimensional Scaling Based on Singular Value DecompositionAkinori Okada. 143-150 [doi]
• Visualization of Asymmetric Clustering Result with Digraph and DendrogramYuichi Saito, Hiroshi Yadohisa. 151-159 [doi]
• Clustering Temporal Population Patterns in Switzerland (1850-2000)Martin Behnisch, Alfred Ultsch. 163-171 [doi]
• p-adic Methods in Stereo VisionPatrick Erik Bradley. 173-182 [doi]
• Individualized Error Estimation for Classification and Regression ModelsKrisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme. 183-191 [doi]
• Evaluation of Spatial Cluster Detection Algorithms for Crime LocationsMarco Helbich, Michael Leitner. 193-201 [doi]
• Checking Serial Independence of Residuals from a Nonlinear ModelLuca Bagnato, Antonio Punzo. 203-211 [doi]
• Analysis of Network Data Based on Probability Neighborhood CliquesAndreas Baumgart, Ulrich Müller-Funk. 215-223 [doi]
• A Comparison of Agglomerative Hierarchical Algorithms for Modularity ClusteringMichael Ovelgönne, Andreas Geyer-Schulz. 225-232 [doi]
• Network Data as Contiguity Constraints in Modeling Preference DataGiuseppe Giordano, Germana Scepi. 233-241 [doi]
• Clustering Coefficients of Random Intersection GraphsErhard Godehardt, Jerzy Jaworski, Katarzyna Rybarczyk. 243-253 [doi]
• Immersive Dynamic Visualization of Interactions in a Social NetworkNicolas Greffard, Fabien Picarougne, Pascale Kuntz. 255-262 [doi]
• Fuzzy Boolean Network ReconstructionMartin Hopfensitz, Markus Maucher, Hans A. Kestler. 263-270 [doi]
• GIRAN: A Dynamic Graph Interface to Neighborhoods of Related ArticlesAndreas W. Neumann, Kiryl Batsiukov. 271-279 [doi]
• Power Tags as Tools for Social Knowledge Organization SystemsIsabella Peters. 281-289 [doi]
• The Degree Distribution in Random Intersection GraphsKatarzyna Rybarczyk. 291-299 [doi]
• Application of a Community Membership Life Cycle Model on Tag-Based Communities in TwitterAndreas C. Sonnenbichler, Christopher Bazant. 301-309 [doi]
• Measuring the Influence of Network Structures on Social Interaction over TimeChristoph Stadtfeld. 311-318 [doi]
• Identifying Artificial Actors in E-Dating: A Probabilistic Segmentation Based on Interactional Pattern AnalysisAndreas Schmitz, Olga Yanenko, Marcel Hebing. 319-327 [doi]
• Calculating a Distributional Similarity Kernel using the Nyström ExtensionMarkus Arndt, Ulrich Arndt. 331-339 [doi]
• Text Categorization in R: A Reduced N-Gram ApproachWilhelm M. Geiger, Johannes Rauch, Patrick Mair, Kurt Hornik. 341-349 [doi]
• HOMALS for Dimension Reduction in Information RetrievalKay F. Hildebrand, Ulrich Müller-Funk. 353-361 [doi]
• Feature Reduction and Nearest NeighboursLudwig Lausser, Christoph Müssel, Markus Maucher, Hans A. Kestler. 363-370 [doi]
• Musical Instrument Recognition by High-Level FeaturesMarkus Eichhoff, Claus Weihs. 373-381 [doi]
• The Recognition of Consonance Is not Impaired by Intonation Deviations: A Revised TheoryJobst Peter Fricke. 383-391 [doi]
• Applying Multiple Kernel Learning to Automatic Genre ClassificationHanna M. Lukashevich. 393-400 [doi]
• Multi-Objective Evaluation of Music ClassificationIgor Vatolkin. 401-410 [doi]
• Partition Based Feature Processing for Improved Music ClassificationIgor Vatolkin, Wolfgang M. Theimer, Martin Botteck. 411-419 [doi]
• Software in Music Information RetrievalClaus Weihs, Klaus Friedrichs, Markus Eichhoff, Igor Vatolkin. 421-432 [doi]
• Conditional Factor Models for European BanksWolfgang Bessler, Philipp Kurmann. 435-442 [doi]
• Classification of Large Imbalanced Credit Client Data with Cluster Based SVMRalf Stecking, Klaus B. Schebesch. 443-451 [doi]
• Fault Mining Using Peer Group AnalysisDavid J. Weston, Niall M. Adams, Yoonseong Kim, David J. Hand. 453-461 [doi]
• Discovering Possible Patterns Associations Among Drug PrescriptionsJoana Fernandes, Orlando Belo. 465-473 [doi]
• Cluster Analytic Strategy for Identification of Metagenes Relevant for Prognosis of Node Negative Breast CancerEvgenia Freis, Silvia Selinski, Jan G. Hengstler, Katja Ickstadt. 475-483 [doi]
• Image Clustering for Marketing PurposesDaniel Baier, Ines Daniel. 487-494 [doi]
• PLS-MGA: A Non-Parametric Approach to Partial Least Squares-based Multi-Group AnalysisJörg Henseler. 495-501 [doi]
• Love and Loyalty in Car Brands: Segmentation Using Finite Mixture Partial Least SquaresSandra Loureiro. 503-510 [doi]
• Endogeneity and Exogeneity in Sales Response FunctionsWolfgang Polasek. 511-519 [doi]
• Lead User Identification in Conjoint Analysis Based Product DesignAlexander Sänn, Daniel Baier. 521-528 [doi]
• Improving the Validity of Conjoint Analysis by Additional Data Collection and Analysis StepsSebastian Selka, Daniel Baier, Michael Brusch. 529-536 [doi]
• The Impact of Missing Values on PLS Model FittingMoritz Parwoll, Ralf Wagner. 537-544 [doi]
• Teachers' Typology of Student Categories: A Cluster Analytic StudyThomas Hörstermann, Sabine Krolak-Schwerdt. 547-555 [doi]
• ECTS Grades: Combination of Norm- and Criterion-Referenced GradingJonas Kunze, Andreas Geyer-Schulz. 557-565 [doi]
• Students Reading Motivation: A Multilevel Mixture Factor AnalysisDaniele Riggi, Jeroen K. Vermunt. 567-573 [doi]
• Short Term Dynamics of Tourist Arrivals: What Do Italian Destinations Have in Common?Anna Maria Parroco, Raffaele Scuderi. 577-584 [doi]
• A Measure of Polarization for Tourism: Evidence from Italian DestinationsRaffaele Scuderi. 585-593 [doi]