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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

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Cover of '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'

Table of Contents

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    Book Overview
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    Chapter 1 K-midranges clustering
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    Chapter 2 A New Method for Detecting Influential Observations in Nonhierarchical Cluster Analysis
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    Chapter 3 Non-probabilistic Classification
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    Chapter 4 An investigation of nine procedures for detecting the structure in a data set
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    Chapter 5 Clustering and Outlier Identification: Fixed Point Cluster Analysis
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    Chapter 6 Clustering Large Datasets of Mixed Units
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    Chapter 7 A Critical Approach to Non-Parametric Classification of Compositional Data
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    Chapter 8 Clustering Based on Wavelet Transform: Applications to Point Pattern Clustering and to High-Dimensional Data Analysis
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    Chapter 9 Beyond Simpson’s Paradox: One Problem in Data Science
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    Chapter 10 For Consensus (With Branch Lengths)
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    Chapter 11 Consensus of classifications: the case of trees
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    Chapter 12 The Information Content of Consensus Trees
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    Chapter 13 Compatible and Complementary Fuzzy Partitions
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    Chapter 14 Two Methods of Fuzzy c -Means and Classification Functions
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    Chapter 15 Dynamic Determination of Mixing Parameters in Fuzzy Clustering
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    Chapter 16 A Dynamic Additive Fuzzy Clustering Model
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    Chapter 17 Application of fuzzy mathematical morphology for pattern classification
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    Chapter 18 Statistical Conditions for a Linear Complexity for an Algorithm of Hierarchical Classification Under Constraint of Contiguity
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    Chapter 19 Constrained Clustering Problems
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    Chapter 20 A constrained clusterwise procedure for segmentation
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    Chapter 21 Maximal predictive clustering with order constraint: a linear and optimal algorithm
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    Chapter 22 A linear programming based heuristic for a hard clustering problem on trees
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    Chapter 23 Two Principal Points of Symmetric Distributions
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    Chapter 24 Pertinence for a Classification
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    Chapter 25 Global stochastic optimization techniques applied to partitioning
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    Chapter 26 MCMC Inference for Model-based Cluster analysis
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    Chapter 27 On the Asymptotic Normality of a Resubstitution Error Estimate
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    Chapter 28 Stochastic Methods for Generative Systems Analysis
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    Chapter 29 Compensatory Rules for Optimal Classification with Mastery Scores
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    Chapter 30 About the Automatic Detection of Training Sets for Multispectral Images Classification
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    Chapter 31 A “Leaps and Bounds” Algorithm for Variable Selection in Two-Group Discriminant Analysis
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    Chapter 32 Canonical Discriminant Analysis of Multinomial Samples with Applications to Textual Data
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    Chapter 33 How to extract predictive binary attributes from a categorical one
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    Chapter 34 A Density Distance Based Approach to Projection Pursuit Discriminant Analysis
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    Chapter 35 Two Group Linear Discrimination Based on Transvariation Measures
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    Chapter 36 A new geometrical hypothesis for clustering and discriminant analysis
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    Chapter 37 Clustering and Neural Networks
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    Chapter 38 Application of Self-Organizing Maps to Outlier Identification and Estimation of Missing Data
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    Chapter 39 Neuro-Fuzzy Classification
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    Chapter 40 Computational Enhancements in Tree-Growing Methods
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    Chapter 41 A New Way to Build Oblique Decision Trees Using Linear Programming
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    Chapter 42 Classification and Regression Trees Software and New Developments
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    Chapter 43 STABLE: a visual environment for the study of multivariate data
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    Chapter 44 Some recent Developments in Factor Analysis and the Search for proper Communalities
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    Chapter 45 Bayesian Factor Analysis Model and Choosing the Number of Factors Using a New Informational Complexity Criterion
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    Chapter 46 Nonlinear Biplots for Multivariate Normal Grouped Populations
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    Chapter 47 Discretization as a tool in cluster analysis
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    Chapter 48 A Robust Biplot Representation of Two-way Tables
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    Chapter 49 Graphical factor analysis models: specification and model comparison
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    Chapter 50 Graphical Analysis of Fully Ranked Data
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    Chapter 51 Improper Solutions in Exploratory Factor Analysis: Causes and Treatments
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    Chapter 52 Symbolic Clustering Of Probabilistic Data
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    Chapter 53 Statistical proximity functions of Boolean symbolic objects based on histograms
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    Chapter 54 Vertices Principal Components Analysis With an Improved Factorial Representation
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    Chapter 55 On the Complexity of Computation with Symbolic Objects using Domain Knowledge
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    Chapter 56 Symbolic Data Analysis: a Mathematical Framework and Tool for Data Mining
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    Chapter 57 Symbolic Kernel Discriminant Analysis
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    Chapter 58 Decision Trees and Uncertain Inference
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    Chapter 59 Interpretation and Reduction of Galois Lattices of Complex Data
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    Chapter 60 Proximity function for clustering of software objects
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    Chapter 61 Textual data analysis for open-questions in repeated surveys
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    Chapter 62 Three-way textual data analysis
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    Chapter 63 Classification Problems in Text Analysis and Information Retrieval
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    Chapter 64 Text Mining - Knowledge extraction from unstructured textual data
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    Chapter 65 A general formulation of multidimensional unfolding models involving the latitude of acceptance
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    Chapter 66 The Data Theory Scaling System
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    Chapter 67 A Note on Identification and Similarity Models
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    Chapter 68 Generalized Distance Measures for Asymmetric Multivariate Distributions
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    Chapter 69 Obtaining Disparities as Slopes of Greatest Minorant Convex
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    Chapter 70 Non-parametric regression models for the conjoint analysis of qualitative and quantitative data
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    Chapter 71 Local multivariate analysis
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    Chapter 72 Non-parametric Regression and Non-linear Data Analysis: an overview
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    Chapter 73 Multivariate L 1 Mean
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    Chapter 74 Simple and Multiple Regression Splines with Bounded Optimal Knots
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    Chapter 75 Interpretation of a Cross-Classification: a New Method and an Application
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    Chapter 76 Bidimensional Kalman filter and Iterated Conditional Modes
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    Chapter 77 An Iterative Reweighting Procedure to Robustify Projection Pursuit Regression
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    Chapter 78 Statistical Multivariate Techniques for the Stock Location Assignment Problem
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    Chapter 79 A Bayesian Approach to the Analysis of Spatial Time Series
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    Chapter 80 Dissimilarities Between Trajectories of a Three-Way Longitudinal Data Set
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    Chapter 81 An Overview of Three-way Analysis and Some Recent Developments
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    Chapter 82 Studying the Diffusion of Three-Mode Analysis in Chemistry: Design Considerations
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    Chapter 83 Selection of Classification Models Using Data Envelopment Analysis
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    Chapter 84 Tests for the Rank of Matrices of Hilbert-Schmidt Products
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    Chapter 85 Application of Three-Way Data Clustering to Analysis of Lymphocyte Subset Numbers in Japanese Hemophiliacs Infected with HIV-1
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    Chapter 86 On an Error Detecting Algorithm on Textual Data Files
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    Chapter 87 Hierarchy Techniques of Multidimensional Data Analysis (MDA) in Social Medicine Research
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    Chapter 88 Classification and Decision Making in Forensic Sciences: the Speaker Identification Problem
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    Chapter 89 Ordinal Variables in the Segmentation of Advertisement Receivers
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    Chapter 90 Some Experimental Trial of Electronic Surveys on the Internet Environments
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Title
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
Published by
Springer Berlin Heidelberg, March 2013
DOI 10.1007/978-3-642-72253-0
ISBNs
978-3-54-064641-9, 978-3-64-272253-0
Editors

Rizzi, Alfredo, Bock, Hans Hermann, Vichi, Maurizio

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 7%
Portugal 1 4%
Sweden 1 4%
United Kingdom 1 4%
Spain 1 4%
Unknown 21 78%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 33%
Student > Ph. D. Student 4 15%
Professor 3 11%
Student > Master 3 11%
Student > Postgraduate 2 7%
Other 3 11%
Unknown 3 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 48%
Earth and Planetary Sciences 3 11%
Engineering 2 7%
Computer Science 2 7%
Business, Management and Accounting 1 4%
Other 3 11%
Unknown 3 11%