Advances in Data Science and Classification : Proceedings of the 6th Conference of the International Federation of Classification Societies (IFCS-98) Università “La Sapienza”, Rome, 21–24 July, 1998

The book provides new developments in classification and data analysis, and presents new topics which are of central interest to modern statistics. In particular, these include classification theory, multivariate data analysis, multi-way data, proximity structure analysis, new software for classification and data analysis, and applications in social, economic, medical and other sciences. For many of these topics, this book provides a systematic state of the art written by top researchers in the world. This book will serve as a helpful introduction to the area of classification and data analysis for research workers and support the transfer of new advances in data science and classification to a wide range of applications. Content: Front Matter....Pages I-XV Front Matter....Pages 1-1 K-midranges clustering....Pages 3-14 A New Method for Detecting Influential Observations in Nonhierarchical Cluster Analysis....Pages 15-20 Non-probabilistic Classification....Pages 21-28 An investigation of nine procedures for detecting the structure in a data set....Pages 29-36 Clustering and Outlier Identification: Fixed Point Cluster Analysis....Pages 37-42 Clustering Large Datasets of Mixed Units....Pages 43-48 A Critical Approach to Non-Parametric Classification of Compositional Data....Pages 49-56 Clustering Based on Wavelet Transform: Applications to Point Pattern Clustering and to High-Dimensional Data Analysis....Pages 57-64 Beyond Simpson’s Paradox: One Problem in Data Science....Pages 65-72 For Consensus (With Branch Lengths)....Pages 73-80 Consensus of classifications: the case of trees....Pages 81-90 The Information Content of Consensus Trees....Pages 91-98 Compatible and Complementary Fuzzy Partitions....Pages 99-104 Two Methods of Fuzzy c-Means and Classification Functions....Pages 105-110 Dynamic Determination of Mixing Parameters in Fuzzy Clustering....Pages 111-116 A Dynamic Additive Fuzzy Clustering Model....Pages 117-124 Application of fuzzy mathematical morphology for pattern classification....Pages 125-130 Statistical Conditions for a Linear Complexity for an Algorithm of Hierarchical Classification Under Constraint of Contiguity....Pages 131-136 Constrained Clustering Problems....Pages 137-144 A constrained clusterwise procedure for segmentation....Pages 145-151 Front Matter....Pages 1-1 Maximal predictive clustering with order constraint: a linear and optimal algorithm....Pages 153-160 A linear programming based heuristic for a hard clustering problem on trees....Pages 161-170 Two Principal Points of Symmetric Distributions....Pages 171-176 Pertinence for a Classification....Pages 177-184 Global stochastic optimization techniques applied to partitioning....Pages 185-190 MCMC Inference for Model-based Cluster analysis....Pages 191-196 On the Asymptotic Normality of a Resubstitution Error Estimate....Pages 197-204 Stochastic Methods for Generative Systems Analysis....Pages 205-210 Compensatory Rules for Optimal Classification with Mastery Scores....Pages 211-218 Front Matter....Pages 219-219 About the Automatic Detection of Training Sets for Multispectral Images Classification....Pages 221-226 A “Leaps and Bounds” Algorithm for Variable Selection in Two-Group Discriminant Analysis....Pages 227-232 Canonical Discriminant Analysis of Multinomial Samples with Applications to Textual Data....Pages 233-237 How to extract predictive binary attributes from a categorical one....Pages 239-244 A Density Distance Based Approach to Projection Pursuit Discriminant Analysis....Pages 245-250 Two Group Linear Discrimination Based on Transvariation Measures....Pages 251-256 A new geometrical hypothesis for clustering and discriminant analysis....Pages 257-264 Clustering and Neural Networks....Pages 265-277 Application of Self-Organizing Maps to Outlier Identification and Estimation of Missing Data....Pages 279-286 Neuro-Fuzzy Classification....Pages 287-294 Computational Enhancements in Tree-Growing Methods....Pages 295-302 Front Matter....Pages 219-219 A New Way to Build Oblique Decision Trees Using Linear Programming....Pages 303-309 Classification and Regression Trees Software and New Developments....Pages 311-318 STABLE: a visual environment for the study of multivariate data....Pages 319-322 Front Matter....Pages 323-323 Some recent Developments in Factor Analysis and the Search for proper Communalities....Pages 325-334 Bayesian Factor Analysis Model and Choosing the Number of Factors Using a New Informational Complexity Criterion....Pages 335-342 Nonlinear Biplots for Multivariate Normal Grouped Populations....Pages 343-348 Discretization as a tool in cluster analysis....Pages 349-354 A Robust Biplot Representation of Two-way Tables....Pages 355-361 Graphical factor analysis models: specification and model comparison....Pages 363-368 Graphical Analysis of Fully Ranked Data....Pages 369-374 Improper Solutions in Exploratory Factor Analysis: Causes and Treatments....Pages 375-382 Front Matter....Pages 383-383 Symbolic Clustering Of Probabilistic Data....Pages 385-390 Statistical proximity functions of Boolean symbolic objects based on histograms....Pages 391-396 Vertices Principal Components Analysis With an Improved Factorial Representation....Pages 397-402 On the Complexity of Computation with Symbolic Objects using Domain Knowledge....Pages 403-408 Symbolic Data Analysis: a Mathematical Framework and Tool for Data Mining....Pages 409-416 Symbolic Kernel Discriminant Analysis....Pages 417-423 Decision Trees and Uncertain Inference....Pages 425-431 Interpretation and Reduction of Galois Lattices of Complex Data....Pages 433-440 Proximity function for clustering of software objects....Pages 441-448 Front Matter....Pages 383-383 Textual data analysis for open-questions in repeated surveys....Pages 449-456 Three-way textual data analysis....Pages 457-464 Classification Problems in Text Analysis and Information Retrieval....Pages 465-472 Text Mining - Knowledge extraction from unstructured textual data....Pages 473-480 Front Matter....Pages 481-481 A general formulation of multidimensional unfolding models involving the latitude of acceptance....Pages 483-488 The Data Theory Scaling System....Pages 489-496 A Note on Identification and Similarity Models....Pages 497-502 Generalized Distance Measures for Asymmetric Multivariate Distributions....Pages 503-508 Obtaining Disparities as Slopes of Greatest Minorant Convex....Pages 509-516 Non-parametric regression models for the conjoint analysis of qualitative and quantitative data....Pages 517-524 Local multivariate analysis....Pages 525-530 Non-parametric Regression and Non-linear Data Analysis: an overview....Pages 531-538 Simple and Multiple Regression Splines with Bounded Optimal Knots....Pages 539-546 Interpretation of a Cross-Classification: a New Method and an Application....Pages 547-554 Bidimensional Kalman filter and Iterated Conditional Modes....Pages 555-560 An Iterative Reweighting Procedure to Robustify Projection Pursuit Regression....Pages 561-566 Statistical Multivariate Techniques for the Stock Location Assignment Problem....Pages 567-572 A Bayesian Approach to the Analysis of Spatial Time Series....Pages 573-578 Dissimilarities Between Trajectories of a Three-Way Longitudinal Data Set....Pages 579-584 Front Matter....Pages 585-592 An Overview of Three-way Analysis and Some Recent Developments....Pages 481-481 Studying the Diffusion of Three-Mode Analysis in Chemistry: Design Considerations....Pages 593-602 Selection of Classification Models Using Data Envelopment Analysis....Pages 603-611 Tests for the Rank of Matrices of Hilbert-Schmidt Products....Pages 613-618 Application of Three-Way Data Clustering to Analysis of Lymphocyte Subset Numbers in Japanese Hemophiliacs Infected with HIV-1....Pages 619-625 Front Matter....Pages 627-632 On an Error Detecting Algorithm on Textual Data Files....Pages 633-633 Hierarchy Techniques of Multidimensional Data Analysis (MDA) in Social Medicine Research....Pages 635-640 Classification and Decision Making in Forensic Sciences: the Speaker Identification Problem....Pages 641-646 Ordinal Variables in the Segmentation of Advertisement Receivers....Pages 647-654 Some Experimental Trial of Electronic Surveys on the Internet Environments....Pages 655-662 Back Matter....Pages 663-668 ....Pages 669-681 International Federation of Classification Societies The International Federation of Classification Societies (lFCS) is an agency for the dissemination of technical and scientific information concerning classification and multivariate data analysis in the broad sense and in as wide a range of applications as possible; founded in 1985 in Cambridge (UK) by the following Scientific Societies and Groups: - British Classification Society - BCS - Classification Society of North America - CSNA - Gesellschaft fUr Klassification - GfKI - Japanese Classification Society - JCS - Classification Group ofItalian Statistical Society - CGSIS - Societe Francophone de Classification - SFC Now the IFCS includes also the following Societies: - Dutch-Belgian Classification Society - VOC - Polish Classification Section - SKAD - Portuguese Classification Association - CLAD - Group at Large - Korean Classification Society - KCS IFCS-98, the Sixth Conference of the International Federation of Classification Societies, was held in Rome, from July 21 to 24, 1998. Five preceding conferences were held in Aachen (Germany), Charlottesville (USA), Edinburgh (UK), Paris (France), Kobe (Japan).