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New Approaches in Classification and Data Analysis : NATO Asi Series. Series F, Computer and Systems Sciences - Edwin Diday

New Approaches in Classification and Data Analysis

NATO Asi Series. Series F, Computer and Systems Sciences

By: Edwin Diday (Editor), Yves Lechevallier (Editor), Martin Schader (Editor), Patrice Bertrand (Editor), Bernard Burtschy (Editor)

Paperback ISBN: 9783540584254
Number Of Pages: 693

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The subject of this book is the analysis and processing of structural or quantitative data with emphasis on classification methods, new algorithms as well as applications in various fields related to data analysis and classification. The book presents the state of the art in world-wide research and application of methods from the fields indicated above and consists of survey papers as well as research papers.

Classification and Clustering: Problems for the Futurep. 3
From classifications to cognitive categorization: the example of the road lexiconp. 25
A review of graphical methods in Japan - from histogram to dynamic displayp. 36
New Data and New Tools: A Hypermedia Environment for Navigating Statistical Knowledge in Data Sciencep. 45
On the logical necessity and priority of a monothetic conception of class, and on the consequent inadequacy of polythetic accounts of category and categorizationp. 55
Research and Applications of Quantification Methods in East Asian Countriesp. 64
Algorithms for a geometrical P.C.A. with the L[subscript 1]-normp. 75
Comparison of hierarchical classificationsp. 85
On quadripolar Robinson dissimilarity matricesp. 93
An Ordered Set Approach to Neutral Consensus Functionsp. 102
From Apresjan Hierarchies and Bandelt-Dress Weak hierarchies to Quasi-hierarchiesp. 111
Spanning trees and average linkage clusteringp. 119
Adjustments of tree metrics based on minimum spanning treesp. 128
The complexity of the median procedure for binary treesp. 136
A multivariate analysis of a series of variety trials with special reference to classification of varietiesp. 141
Quality control of mixture. Application: The grassp. 149
Mixture Analysis with Noisy Datap. 155
Locally optimal tests on spatial clusteringp. 161
Choosing the Number of Clusters, Subset Selection of Variables, and Outlier Detection in the Standard Mixture-Model Cluster Analysisp. 169
An examination of procedures for determining the number of clusters in a data setp. 178
The gap test: an optimal method for determining the number of natural classes in cluster analysisp. 186
Mode detection and valley seeking by binary morphological analysis of connectivity for pattern classificationp. 194
Interactive Class Classification Using Typesp. 204
K-means clustering in a low-dimensional Euclidean spacep. 212
Complexity relaxation of dynamic programming for cluster analysisp. 220
Partitioning Problems in Cluster Analysis: A Review of Mathematical Programming Approachesp. 228
Clusters and factors: neural algorithms for a novel representation of huge and highly multidimensional data setsp. 241
Graphs and structural similaritiesp. 249
A generalisation of the diameter criterion for clusteringp. 257
Percolation and multimodal data structuringp. 263
Classification and Discrimination Techniques Applied to the Early Detection of Business Failurep. 269
Recursive Partition and Symbolic Data Analysisp. 277
Interpretation Tools for Generalized Discriminant Analysisp. 285
Inference about rejected cases in discriminant analysisp. 292
Structure Learning of Bayesian Networks by Genetic Algorithmsp. 300
On the representation of observational data used for classification and identification of natural objectsp. 308
Alternative strategies and CATANOVA testing in two-stage binary segmentationp. 316
Alignment, Comparison and Consensus of Molecular Sequencesp. 327
An Empirical Evaluation of Consensus Rules for Molecular Sequencesp. 347
A Probabilistic Approach To Identifying Consensus In Molecular Sequencesp. 356
Applications of Distance Geometry to Molecular Conformationp. 362
Classification of aligned biological sequencesp. 370
Use of Pyramids in Symbolic Data Analysisp. 378
Proximity Coefficients between Boolean symbolic objectsp. 387
Conceptual Clustering in Structured Domains: A Theory Guided Approachp. 395
Automatic Aid to Symbolic Cluster Interpretationp. 405
Symbolic Clustering Algorithms using Similarity and Dissimilarity Measuresp. 414
Feature Selection for Symbolic Data Classificationp. 423
Towards extraction method of knowledge founded by symbolic objectsp. 430
One Method of Classification based on an Analysis of the Structural Relationship between Independent Variablesp. 438
The Integration of Neural Networks with Symbolic Knowledge Processingp. 445
Ordering of Fuzzy k-Partitionsp. 455
On the Extension of Probability Theory and Statistics to the Handling of Fuzzy Datap. 463
Fuzzy Regressionp. 470
Clustering and Aggregation of Fuzzy Preference Data: Agreement vs. Informationp. 478
Rough Classification with Valued Closeness Relationp. 482
Representing proximities by network modelsp. 493
An Eigenvector Algorithm to Fit l[subscript p]-Distance Matricesp. 502
A non linear approach to Non Symmetrical Data Analysisp. 510
An Algorithmic Approach to Bilinear Models for Two-Way Contingency Tablesp. 518
New Approaches Based on Rankings in Sensory Evaluationp. 525
Estimating failure times distributions from censored systems arranged in seriesp. 533
Calibration Used as a Nonresponse Adjustmentp. 539
Least Squares Smoothers and Additive Decompositionp. 549
High Dimensional Representations and Information Retrievalp. 559
Experiments of Textual Data Analysis at Electricite de Francep. 569
Conception of a Data Supervisor in the Prospect of Piloting Management Quality of Service and Marketingp. 577
Discriminant Analysis Using Textual Datap. 584
Recent Developments in Case Based Reasoning: Improvements of Similarity Measuresp. 594
Contiguity in discriminant factorial analysis for image clusteringp. 602
Exploratory and Confirmatory Discrete Multivariate Analysis in a Probabilistic Approach for Studying the Regional Distribution of Aids in Angolap. 610
Factor Analysis of Medical Image Sequences (FAMIS): Fundamental principles and applicationsp. 619
Multifractal Segmentation of Medical Imagesp. 628
The Human Organism - a Place to Thrive for the Immuno-Deficiency Virusp. 636
Comparability and usefulness of newer and classical data analysis techniques. Application in medical domain classificationp. 644
The Classification of IRAS Point Sourcesp. 653
Astronomical classification of the Hipparcos input cataloguep. 663
Group identification and individual assignation of stars from kinematical and luminosity parametersp. 672
Specific numerical and symbolic analysis of chronological series in view to classification of long period variable starsp. 680
Author and Subject Indexp. 689
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9783540584254
ISBN-10: 3540584250
Series: NATO Asi Series. Series F, Computer and Systems Sciences
Audience: General
Format: Paperback
Language: English
Number Of Pages: 693
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 21.59 x 13.97  x 3.61
Weight (kg): 0.81