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＜電子ブック＞
New Approaches in Classification and Data Analysis / edited by Edwin Diday, Yves Lechevallier, Martin Schader, Patrice Bertrand, Bernard Burtschy
(Studies in Classification, Data Analysis, and Knowledge Organization. ISSN:21983321)

版	1st ed. 1994.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	1994
本文言語	英語
大きさ	XII, 693 p : online resource
著者標目	Diday, Edwin editor Lechevallier, Yves editor Schader, Martin editor Bertrand, Patrice editor Burtschy, Bernard editor SpringerLink (Online service)
件　名	LCSH:Econometrics LCSH:Probabilities LCSH:Statistics  LCSH:Biomathematics LCSH:Biometry FREE:Quantitative Economics FREE:Econometrics FREE:Probability Theory FREE:Statistics in Business, Management, Economics, Finance, Insurance FREE:Mathematical and Computational Biology FREE:Biostatistics
一般注記	Classification and Clustering: Problems for the Future -- From classifications to cognitive categorization: the example of the road lexicon -- A review of graphical methods in Japan—from histogram to dynamic display -- New Data and New Tools: A Hypermedia Environment for Navigating Statistical Knowledge in Data Science -- On the logical necessity and priority of a monothetic conception of class, and on the consequent inadequacy of polythetic accounts of category and categorization -- Research and Applications of Quantification Methods in East Asian Countries -- Algorithms for a geometrical P.C.A. with the L1-norm -- Comparison of hierarchical classifications -- On quadripolar Robinson dissimilarity matrices -- An Ordered Set Approach to Neutral Consensus Functions -- From Apresjan Hierarchies and Bandelt-Dress Weak hierarchies to Quasi-hierarchies -- Spanning trees and average linkage clustering -- Adjustments of tree metrics based on minimum spanning trees -- The complexity of the median procedure for binary trees -- A multivariate analysis of a series of variety trials with special reference to classification of varieties -- Quality control of mixture. Application: The grass -- Mixture Analysis with Noisy Data -- Locally optimal tests on spatial clustering -- Choosing the Number of Clusters, Subset Selection of Variables, and Outlier Detection in the Standard Mixture-Model Cluster Analysis -- An examination of procedures for determining the number of clusters in a data set -- The gap test: an optimal method for determining the number of natural classes in cluster analysis -- Mode detection and valley seeking by binary morphological analysis of connectivity for pattern classification -- Interactive Class Classification Using Types -- K-means clustering in a low-dimensional Euclideanspace -- Complexity relaxation of dynamic programming for cluster analysis -- Partitioning Problems in Cluster Analysis: A Review of Mathematical Programming Approaches -- Clusters and factors: neural algorithms for a novel representation of huge and highly multidimensional data sets -- Graphs and structural similarities -- A generalisation of the diameter criterion for clustering -- Percolation and multimodal data structuring -- Classification and Discrimination Techniques Applied to the Early Detection of Business Failure -- Recursive Partition and Symbolic Data Analysis -- Interpretation Tools For Generalized Discriminant Analysis -- Inference about rejected cases in discriminant analysis -- Structure Learning of Bayesian Networks by Genetic Algorithms -- On the representation of observational data used for classification and identification of natural objects -- Alternative strategies and CATANOVA testing in two-stage binary segmentation -- Alignment, Comparison and Consensus of Molecular Sequences -- An Empirical Evaluation of Consensus Rules for Molecular Sequences -- A Probabilistic Approach To Identifying Consensus In Molecular Sequences -- Applications of Distance Geometry to Molecular Conformation -- Classification of aligned biological sequences -- Use of Pyramids in Symbolic Data Analysis -- Proximity Coefficients between Boolean symbolic objects -- Conceptual Clustering in Structured Domains: A Theory Guided Approach -- Automatic Aid to Symbolic Cluster Interpretation -- Symbolic Clustering Algorithms using Similarity and Dissimilarity Measures -- Feature Selection for Symbolic Data Classification -- Towards extraction method of knowledge founded by symbolic objects -- One Method of Classification based on an Analysis of the Structural Relationship between Independent Variables -- The Integration of Neural Networks with Symbolic Knowledge Processing -- Ordering of Fuzzy k-Partitions -- On the Extension of Probability Theory and Statistics to the Handling of Fuzzy Data -- Fuzzy Regression -- Clustering and Aggregation of Fuzzy Preference Data: Agreement vs. Information -- Rough Classification with Valued Closeness Relation -- Representing proximities by network models -- An Eigenvector Algorithm to Fit lp-Distance Matrices -- A non linear approach to Non Symmetrical Data Analysis -- An Algorithmic Approach to Bilinear Models for Two-Way Contingency Tables -- New Approaches Based on Rankings in Sensory Evaluation -- Estimating failure times distributions from censored systems arranged in series -- Calibration Used as a Nonresponse Adjustment -- Least Squares Smoothers and Additive Decomposition -- High Dimensional Representations and Information Retrieval -- Experiments of Textual Data Analysis at Electricité de France -- Conception of a Data Supervisor in the Prospect of Piloting Management Quality of Service and Marketing -- Discriminant Analysis Using Textual Data -- Recent Developments in Case Based Reasoning: Improvements of Similarity Measures -- Contiguity in discriminant factorial analysis for image clustering -- Exploratory and Confirmatory Discrete Multivariate Analysis in a Probabilistic Approach for Studying the Regional Distribution of Aids in Angola -- Factor Analysis of Medical Image Sequences (FAMIS): Fundamental principles and applications -- Multifractal Segmentation of Medical Images -- The Human Organism—a Place to Thrive for the Immuno-Deficiency Virus -- Comparability and usefulness of newer and classical data analysis techniques. Application in medical domain classification -- The Classification of IRAS Point Sources -- Astronomical classification ofthe Hipparcos input catalogue -- Group identification and individual assignation of stars from kinematical and luminosity parameters -- Specific numerical and symbolic analysis of chronological series in view to classification of long period variable stars -- Author and Subject Index HTTP:URL=https://doi.org/10.1007/978-3-642-51175-2

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