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Classification and data analysis : theory and application : proceedings of the biannual meeting of the Classification Group of Società Italia di Statistica (SIS), Pescara, July 3-4, 1997 by Classification Group of SIS. Meeting (19...

Book Information

TitleClassification and data analysis : theory and application : proceedings of the biannual meeting of the Classification Group of Società Italia di Statistica (SIS), Pescara, July 3-4, 1997
CreatorClassification Group of SIS. Meeting (1997 : Pescara, Italy), Vichi, Maurizio, 1959-, Opitz, Otto
Year1999
PPI600
PublisherBerlin ; New York : Springer-Verlag
LanguageEnglish
Mediatypetexts
SubjectStatistics, Classification, Information storage and retrieval systems
ISBN3540656332
Collectionfolkscanomy_miscellaneous, folkscanomy, additional_collections
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Identifierspringer_10.1007-978-3-642-60126-2
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Classification and Data Analysis: Theory and Application Proceedings of the Biannual Meeting of the Classification Group of Società Italiana di Statistica (SIS) Pescara, July 3–4, 1997Author: Prof. Maurizio Vichi, Prof. Dr. Otto Opitz Published by Springer Berlin Heidelberg ISBN: 978-3-540-65633-3 DOI: 10.1007/978-3-642-60126-2Table of Contents:Measuring the Influence of Individual Observations and Variables in Cluster Analysis Consensus Classification for A Set of Multiple Time Series A Bootstrap Method for Adaptive Cluster Sampling Forecasting a Classification Neural Networks as a Fuzzy Semantic Network of Events Hierarchical Fuzzy Clustering: An Example of Spatio-Temporal Analysis A New Algorithm for Semi-Fuzzy Clustering Fuzzy Classification and Hyperstructures: An Application to Evaluation of Urban Projects Variable Selection In Fuzzy Clustering Discriminant Analysis Using Markovian Automodels Discretization of Continuous-Valued Data in Symbolic Classification Learning Logistic Discrimination by Kullback-Leibler type Distance Measures An Empirical Discrimination Algorithm based on Projection Pursuit Density Estimation Notes on Methods for Improving Unstable Classifiers Selection of Cut Points in Generalized Additive Models Latent Budget Trees for Multiple Classification Methods for Asymmetric Three-way Scaling Comparison of Euclidean Approximations of non-Euclidean Distances Analysing Dissimilarities through Multigraphs Professional Positioning based on Dominant Eigenvalue Scores (DES), Dimensional Scaling (DS) and Multidimensional Scaling (MDS) Synthesis of Binary Evaluations Matrix of Experts, Includes bibliographical references and indexes, Mode of access: Internet