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

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Alfredo Rizzi, Maurizio Vichi, Hans-Hermann Bock
Springer Science & Business Media, Mar 8, 2013 - Mathematics - 682 pages
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).
 

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Contents

A New Method for Detecting Influential Observations
15
An Investigation of Nine Procedures for Detecting the Structure
29
Clustering Large Datasets of Mixed Units
43
Applications to Point
57
For Consensus With Branch Lengths
73
The Information Content of Consensus Trees
91
Two Methods of Fuzzy cMeans and Classification Functions
105
Application of Fuzzy Mathematical Morphology for Pattern Classification
125
Graphical Analysis of Fully Ranked Data
369
Causes and Treatments
375
Symbolic and Textual Data Analysis
383
Statistical Proximity Functions of Boolean Symbolic
391
Vertices Principal Components Analysis with an Improved
397
On the Complexity of Computation with Symbolic Objects Using
403
A Mathematical Framework
409
Symbolic Kernel Discriminant Analysis
417

A Constrained Clusterwise Procedure for Segmentation
145
A Linear Programming Based Heuristic for a Hard
161
Pertinence for a Classification
177
Inference for ModelBased Cluster Analysis
191
Stochastic Methods for Generative Systems Analysis
205
Compensatory Rules for Optimal Classification with Mastery Scores
211
Other Approaches for Classification
219
A Leaps and Bounds Algorithm for Variable Selection in TwoGroup
227
Canonical Discriminant Analysis of Multinomial Samples
233
A Density Distance Based Approach to Projection
245
Two Group Linear Discrimination Based on Transvariation Measures
251
A New Geometrical Hypothesis for Clustering and Discriminant Analysis
257
Neural Network and Classification
265
Application of SelfOrganizing Maps to Outlier Identification
279
NeuroFuzzy Classification
287
Computational Enhancements in TreeGrowing Methods
295
A New Way to Build Oblique Decision Trees Using Linear Programming
303
Classification and Regression Trees Software and New Developments
310
a Visual Environment for the Study of Multivariate Data
319
Bayesian Factor Analysis Model and Choosing the Number of Factors
335
Nonlinear Biplots for Multivariate Normal Grouped Populations
343
Discretization as a Tool in Cluster Analysis
349
A Robust Biplot Representation of Twoway Tables
355
Specification and Model Comparison
362
Decision Trees and Uncertain Inference
424
Interpretation and Reduction of Galois Lattices of Complex Data
433
Proximity Function for Clustering of Software Objects
441
Text Analysis
449
ThreeWay Textual Data Analysis
457
Classification Problems in Text Analysis and Information Retrieval
465
Text Mining Knowledge Extraction from Unstructured Textual Data
473
Multivariate and Multidimensional Data Analysis
481
The Data Theory Scaling System
489
A Note on Identification and Similarity Models
497
Generalized Distance Measures for Asymmetric Multivariate Distributions
503
Obtaining Disparities as Slopes of Greatest Minorant Convex
509
Multivariate Data Analysis
517
Local Multivariate Analysis
525
Mean
539
NonLinear Data Analysis
555
Statistical Multivariate Techniques for the Stock
573
An Overview of Threeway Analysis and Some Recent Developments
593
Selection of Classification Models Using Data Envelopment Analysis
613
Application of ThreeWay Data Clustering to Analysis of Lymphocyte
626
On an Error Detecting Algorithm on Textual Data Files
635
Ordinal Variables in the Segmentation of Advertisement Receivers
655
Contributors Index
669
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