Classification and Data Analysis : Theory and Application : Studies in Classification, Data Analysis, and Knowledge Organization - Maurizio Vichi

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Classification and Data Analysis : Theory and Application

By: Maurizio Vichi (Editor), Otto Opitz (Editor)

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392 Pages

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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 -GfKl; Japanese Classification Society -JCS; Classification Group of Italian Statistical Society - COSIS; Societe Francophone de Classification -SFC. Now the IFCS includes the following Societies: Dutch-Belgian Classification Society - VOC; Polish Classification Section - SKAD; Portuguese Classification Association - CLAD; Group-at-Large; Korean Classification Society -KCS. Biannual Meeting of the Classification and Data Analysis Group of SIS The biannual meeting of the Classification and Data Analysis Group of Societa Italiana di Statistica (SIS) was held in Pescara, July 3 -4, 1997. The 69 papers presented were divided in 17 sessions. Each session was organized by a chairperson with two invited speakers and two contributed papers from a call for papers. All the works were referred. Furthermore, during the meeting a discussant was provided for each session. A short version of the papers (4 pages) was.published before the conference.

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Non-Fiction Computing & I.T.Computer Networking & Communications Mathematics Probability & Statistics Databases Data Capture & Analysis Economics Economic Theory & Philosophy Computer Science Econometrics Economic Statistics

Gardening Reference, Information & Interdisciplinary Subjects Research & Information Information theory

Preface
Measuring the influence of individual observations and variables in cluster analysis	p. 3
Consensus classification for a set of multiple time series	p. 11
A bootstrap method for adaptive cluster sampling	p. 19
Forecasting a classification	p. 27
Neural networks as a fuzzy semantic network of events	p. 35
Hierarchical fuzzy clustering: an example of spatio-temporal analysis	p. 43
A new algorithm for semi-fuzzy clustering	p. 49
Fuzzy classification and hyperstructures: an application to evaluation of urban projects	p. 55
Variable selection in fuzzy clustering	p. 63
Discriminant analysis using markovian automodels	p. 73
Discretization of continuous-valued data in symbolic classification learning	p. 81
Logistic discrimination by Kullback-Leibler type distance measures	p. 89
An empirical discrimination algorithm based on projection pursuit density estimation	p. 97
Notes on methods for improving unstable classifiers	p. 105
Selection of cut points in generalized additive models	p. 113
Latent budget trees for multiple classification	p. 121
Methods for asymmetric three-way scaling	p. 131
Comparison of Euclidean approximations of non-Euclidean distances	p. 139
Analysing dissimilarities through multigraphs	p. 147
Professional positioning based on dominant eigenvalue scores (DES), dimensional scaling (DS) and multidimensional scaling (MDS) synthesis of binary evaluations matrix of experts	p. 155
Non-metric full-multidimensional scaling	p. 163
Dynamic factor analysis	p. 171
A non symmetrical generalised co-structure analysis for inspecting quality control data	p. 179
Principal surfaces constrained analysis	p. 187
Generalised canonical analysis on symbolic objects	p. 195
Analysis of qualitative variables in structural models with unique solutions	p. 203
Exploring multivariate spatial data: line transect data	p. 211
On the assessment of geographical survey units using constrained classification	p. 221
Kalman filter applied to non-causal models for spatial data	p. 229
A paradigmatic path for statistical content analysis using an integrated package of textual data treatment	p. 237
The analysis of auxological data by means of nonlinear multivariate growth curves	p. 247
The Kalman filter on three-way data matrix for missing data: a case study on sea water pollution	p. 255
Three-way data arrays with double neighborhood relations as a tool to analyze a contiguity structure	p. 263
Firm performance analysis with panel data	p. 271
Detection of multivariate outliers by convex hulls	p. 279
Reducing dimensionality effects on kernel density estimation: the bivariate gaussian case	p. 287
Shewhart's control chart: some observations	p. 295
Projection pursuit regression with mixed variables	p. 303
Recursive estimation of system parameter in environmental time series models	p. 311
Kernel methods for estimating covariance functions from curves	p. 319
Detection of subsamples in link-free regression analysis	p. 327
Asymptotic prior to posterior analysis for graphical gaussian models	p. 335
Using qualitative information and neural networks for forecasting purposes in financial time series	p. 345
A new approach to the stock location assignment problem by multidimensional scaling and seriation	p. 353
Food coding in nutritional surveys	p. 361
UNAIDED: a PC system for binary and ternary segmentation analysis	p. 367
Author Index	p. 375
Key Words Index	p. 377
Table of Contents provided by Blackwell. All Rights Reserved.

Classification and Data Analysis : Theory and Application

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