Classification and Data Analysis: Theory and Application Proceedings of the Biannual Meeting of the Classification Group of Società Italiana di Statistica (SIS) Pescara, July 3–4, 1997: Studies in Classification, Data Analysis, and Knowledge Organization
Editat de Maurizio Vichi, Otto Opitzen Limba Engleză Paperback – 15 apr 1999
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Specificații
ISBN-13: 9783540656333
ISBN-10: 3540656332
Pagini: 392
Ilustrații: X, 378 p. 14 illus.
Dimensiuni: 170 x 242 x 21 mm
Greutate: 0.62 kg
Ediția:Softcover reprint of the original 1st ed. 1999
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Classification, Data Analysis, and Knowledge Organization
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540656332
Pagini: 392
Ilustrații: X, 378 p. 14 illus.
Dimensiuni: 170 x 242 x 21 mm
Greutate: 0.62 kg
Ediția:Softcover reprint of the original 1st ed. 1999
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Classification, Data Analysis, and Knowledge Organization
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
I: Classification.- Methodologies in Classification.- Measuring the influence of individual observations and variables in cluster analysis.- Consensus classification for a set of multiple time series.- A bootstrap method for adaptive cluster sampling.- Forecasting a classification.- Fuzzy Clustering and Fuzzy Methods.- Neural networks as a fuzzy semantic network of events.- Hierarchical fuzzy clustering: an example of spatio-temporal analysis.- A new algorithm for semi-fuzzy clustering.- Fuzzy classification and hyperstructures: an application to evaluation of urban projects.- Variable selection in fuzzy clustering.- II : Other Approaches for Classification.- Discrimination and Classification.- Discriminant analysis using markovian automodels.- Discretization of continuous-valued data in symbolic classification learning.- Logistic discrimination by Kullback-Leibler type distance measures.- An empirical discrimination algorithm based on projection pursuit density estimation.- Regression Tree and Neural Networks.- Notes on methods for improving unstable classifiers.- Selection of cut points in generalized additive models.- Latent budget trees for multiple classification.- III: Multivariate and Multidimensional Data Analysis.- Proximity Analysis and Multidimensional Scaling.- Methods for asymmetric three-way scaling.- Comparison of Euclidean approximations of non-Euclidean distances.- Analysing dissimilarities through multigraphs.- Professional positioning based on dominant eigenvalue scores (DES), dimensional scaling (DS) and multidimensional scaling (MDS) synthesis of binary evaluations matrix of experts.- Non-metric full-multidimensional scaling.- Factorial Methods.- Dynamic factor analysis.- A non symmetrical generalised co-structure analysis for inspecting quality control data.- Principal surfaces constrained analysis.- Generalised canonical analysis on symbolic objects.- Analysis of qualitative variables in structural models with unique solutions.- Spatial Analysis.- Exploring multivariate spatial data: line transect data.- On the assessment of geographical survey units using constrained classification.- Kalman filter applied to non-causal models for spatial data.- Multiway Data Analysis.- A paradigmatic path for statistical content analysis using an integrated package of textual data treatment.- The analysis of auxological data by means of nonlinear multivariate growth curves.- The Kalman filter on three-way data matrix for missing data: a case study on sea water pollution.- Three-way data arrays with double neighborhood relations as a tool to analyze a contiguity structure.- Firm performance analysis with panel data.- Multivariate Data Analysis.- Detection of multivariate outliers by convex hulls.- Reducing dimensionality effects on kernel density estimation: the bivariate gaussian case.- Shewhart’s control chart: some observations.- Projection pursuit regression with mixed variables.- Recursive estimation of system parameter in environmental time series models.- Kernel methods for estimating covariance functions from curves.- Detection of subsamples in link-free regression analysis.- Asymptotic prior to posterior analysis for graphical gaussian models.- IV: Case Studies.- Applied Classification and Data Analysis.- Using qualitative information and neural networks for forecasting purposes in financial time series.- A new approach to the stock location assignment problem by multidimensional scaling and seriation.- Food coding in nutritional surveys.- UNAIDED: a PC system for binary and ternary segmentation analysis.- AuthorIndex.- Key Words Index.
Caracteristici
New developments in the area of classification and data analysis, including classification theory, multivariate analysis, new software, and applications in social, economic and other sciences