Advances in Classification and Data Analysis

✍ Scribed by D. Bruzzese, A. Irpino (auth.), Dr. Simone Borra, Professor Roberto Rocci, Professor Maurizio Vichi, Professor Dr. Martin Schader (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2001
• Tongue: English
• Leaves: 383
• Series: Studies in Classification, Data Analysis, and Knowledge Organization
• Edition: 1
• Category: Library

✦ Synopsis

This volume contains a selection of papers presented at the biannual meeting of the Classification and Data Analysis Group of Societa Italiana di Statistica, which was held in Rome, July 5-6, 1999. From the originally submitted papers, a careful review process led to the selection of 45 papers presented in four parts as follows: CLASSIFICATION AND MULTIDIMENSIONAL SCALING Cluster analysis Discriminant analysis Proximity structures analysis and Multidimensional Scaling Genetic algorithms and neural networks MUL TIV ARIA TE DATA ANALYSIS Factorial methods Textual data analysis Regression Models for Data Analysis Nonparametric methods SPATIAL AND TIME SERIES DATA ANALYSIS Time series analysis Spatial data analysis CASE STUDIES INTERNATIONAL FEDERATION OF CLASSIFICATION SOCIETIES The International Federation of Classification Societies (IFCS) is an agency for the dissemination of technical and scientific information concerning classification and data analysis in the broad sense and in as wide a range of applications as possible; founded in 1985 in Cambridge (UK) from the following Scientific Societies and Groups: British Classification Society -BCS; Classification Society of North America - CSNA; Gesellschaft fUr Klassifikation - GfKI; Japanese Classification Society -JCS; Classification Group of Italian Statistical Society - CGSIS; Societe Francophone de Classification -SFC. Now the IFCS includes also the following Societies: Dutch-Belgian Classification Society - VOC; Polish Classification Society -SKAD; Associayao Portuguesa de Classificayao e Analise de Dados -CLAD; Korean Classification Society -KCS; Group-at-Large.

✦ Table of Contents

Front Matter....Pages I-X
Front Matter....Pages 1-1
Galois Lattices of Modal Symbolic Objects....Pages 3-10
Exploratory Methods for Detecting High Density Regions in Cluster Analysis....Pages 11-18
A k -means Consensus Classification....Pages 19-26
MIXISO: a Non-Hierarchical Clustering Method for Mixed-Mode Data....Pages 27-34
“Stable Clusters”: a new Approach for Clustering Binary Variables....Pages 35-42
Double k -means Clustering for Simultaneous Classification of Objects and Variables....Pages 43-52
Categorical FDA Under Prospective Sampling Scheme: a Proposal for Variable Selection....Pages 53-60
The Effect of Telephone Survey Design on Discriminant Analysis....Pages 61-68
A Dissimilarity Measure between Probabilistic Symbolic Objects....Pages 69-76
Recent Experimentation on Euclidean Approximations of Biased Euclidean Distances....Pages 77-84
Comparing Capital Structure through Similarity Analysis: Evidence about two Industrial Districts....Pages 85-92
The Geometric Approach to the Comparison of Multivariate Time Trajectories....Pages 93-100
Ultramine Spaces in Classification....Pages 101-108
Genetic Algorithms and Clustering: an Application to Fisher’s Iris Data....Pages 109-118
Using Radial Basis Function Networks for Classification Problems....Pages 119-126
Unconditional Latent Budget Analysis: a Neural Network Approach....Pages 127-134
Front Matter....Pages 135-135
Generalized Constrained Principal Component Analysis....Pages 137-144
Interaction Terms in Homogeneity Analysis: Higher Order Non-Linear Multiple Correspondence Analysis....Pages 145-152
Perturbation Models for Principal Component Analysis of Rainwater Pollution Data....Pages 153-160
Core Matrix Rotation to Natural Zeros in Three-Mode Factor Analysis....Pages 161-168
Front Matter....Pages 135-135
A Factorial Technique for Analysing Textual Data with External Information....Pages 169-176
Subjects on Using Open and Closed-Ended Questions....Pages 177-184
Alternative Error Term Specifications in the Log-Tobit Model1....Pages 185-192
A Customer Satisfaction Approach for User-oriented Comparative Evalutations of Services....Pages 193-200
Mixture Models for Maximum Likelihood Estimation from Incomplete Values....Pages 201-208
Robust Inference in the Logistic Regression Model....Pages 209-216
A Plot for Submodel Selection in Generalized Linear Models....Pages 217-224
On the Use of Multivariate Regression Models in the Context of Multilevel Analysis....Pages 225-232
Nonparametric Estimation Methods for Sparse Contingency Tables....Pages 233-240
Reduction of Prediction Error by Bagging Projection Pursuit Regression....Pages 241-248
Selecting Regression Tree Models: a Statistical Testing Procedure 1 ....Pages 249-256
Linear Fuzzy Regression Analysis with Asymmetric Spreads....Pages 257-264
Front Matter....Pages 265-265
Forecasting Non-Linear Time Series: Empirical Evidences on Financial Data (10) ....Pages 267-274
Dynamics and Comovements of Regional Exports in Italy 1 ....Pages 275-282
Large-sample Properties of Neural Estimators in a Regression Model with ϕ-mixing Errors 1 ....Pages 283-290
Subseries Length in MBB Procedure for α-mixing Processes (1) ....Pages 291-298
Modelling a Change of Classification by a Structural Time Series Approach....Pages 299-306
Spatial Discriminant Analysis Using Covariates Information....Pages 307-314
Some Aspects of Multivariate Geostatistics....Pages 315-324
Exploring Multivariate Spatial Data: an Application to Election Data....Pages 325-332
Front Matter....Pages 265-265
Measures of Distances for Spatial Data: an Application to the Banking Deposits in the Italian Provinces....Pages 333-340
Front Matter....Pages 341-341
Statistical Analysis of Papal Encyclicals....Pages 343-350
Life Courses as Sequences: an Experiment in Clustering via Monothetic Divisive Algorithms....Pages 351-358
Significance of the Classification for the Italian Service Sector Activities....Pages 359-366
A Neural Net Model to Predict High Tides in Venice....Pages 367-373
Back Matter....Pages 375-378

✦ Subjects

Economic Theory; Statistics for Business/Economics/Mathematical Finance/Insurance; Data Structures, Cryptology and Information Theory