Data analysis, classification, and related methods. Papers from the 7th conference of the International Federation of Classification Societies (IFCS-2000), Namur, Belgium, July 11--14, 2000 (Q5949795)

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scientific article; zbMATH DE number 1678243
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Data analysis, classification, and related methods. Papers from the 7th conference of the International Federation of Classification Societies (IFCS-2000), Namur, Belgium, July 11--14, 2000
scientific article; zbMATH DE number 1678243

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    Data analysis, classification, and related methods. Papers from the 7th conference of the International Federation of Classification Societies (IFCS-2000), Namur, Belgium, July 11--14, 2000 (English)
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    3 December 2001
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    The articles of this volume will be reviewed individually. The 1st conference 1987 has been reviewed (see Zbl 0732.00020). Indexed articles: \textit{Hartigan, J. A.}, Classifier probabilities, 3-22 [Zbl 1026.62064] \textit{Sato, Yoshiharu}, An autonomous clustering technique, 23-28 [Zbl 1055.91069] \textit{Jardino, M.}, Unsupervised non-hierarchical entropy-based clustering, 29-34 [Zbl 1026.62068] \textit{Makarenkov, Vladimir; Legendre, Pierre}, Improving the additive tree representation of a dissimilarity matrix using reticulations, 35-40 [Zbl 1184.62110] \textit{Ciok, Alicja}, Double versus optimal grade clusterings, 41-46 [Zbl 1184.62104] \textit{Hajnal, Istvan; Loosveldt, Geert}, The effects of initial values and the covariance structure on the recovery of some clustering methods, 47-52 [Zbl 1184.62106] \textit{Hennig, Christian}, What clusters are generated by normal mixtures?, 53-58 [Zbl 1026.62067] \textit{Winsberg, Suzanne; De Soete, Geert}, A bootstrap procedure for mixture models, 59-62 [Zbl 1026.62041] \textit{Devillez, Arnaud; Billaudel, Patrice; Lecolier, Gérard Villermain}, A new criterion for obtaining a fuzzy partition from a hybrid fuzzy/hierarchical clustering method, 63-68 [Zbl 1184.62105] \textit{Gillet, A.; Botte-Lecocq, C.; Macaire, L.; Postaire, J.-G.}, Application of fuzzy mathematical morphology for unsupervised color pixels classification, 69-75 [Zbl 1031.68632] \textit{Watanabe, Norio; Imaizumi, Tadashi; Kikuchi, Toshiko}, A hyperbolic fuzzy \(k\)-means clustering and algorithm for neural networks, 77-82 [Zbl 1029.62055] \textit{Makagonov, Pavel P.; Alexandrov, Mikhail A.; Sboychakov, Konstantin}, A toolkit for development of the domain-oriented dictionaries for structuring document flows, 83-88 [Zbl 1184.62225] \textit{Wishart, David}, Classification of single malt whiskies, 89-94 [Zbl 1184.62114] \textit{Valois, Jean-Paul}, Robust approach in hierarchical clustering: Application to the sectorisation of an oil field, 95-100 [Zbl 1184.62113] \textit{Vos, Hans J.}, A minimax solution for sequential classification problems, 101-106 [Zbl 1026.62083] \textit{Pinto Doria, Isabel; Le Calvé, Georges; Bacelar-Nicolau, Helena}, Comparison of ultrametrics obtained with real data, using the \(P_L\) and \(VAL_{Aw}\) coefficients, 107-112 [Zbl 1184.62111] \textit{Kuntz, P.; Henaux, F.}, Numerical comparisons of two spectral decompositions for vertex clustering, 113-118 [Zbl 1184.62107] \textit{Soares, Carlos; Brazdil, Pavel; Costa, Joaquim}, Measures to evaluate rankings of classification algorithms, 119-124 [Zbl 1026.62066] \textit{Cucumel, Guy; Lapointe, François-Joseph}, A general approach to test the pertinence of a consensus classification, 125-130 [Zbl 1026.62063] \textit{Bavaud, F.}, On a class of aggregation-invariant dissimilarities obeying the weak Huygens' principle, 131-136 [Zbl 1029.62057] \textit{Fichet, B.}, A short optimal way for constructing quasi-ultrametrics from some particular dissimilarities, 137-141 [Zbl 1027.62048] \textit{Guénoche, A.; Grandcolas, S.}, Estimating missing values in a tree distance, 143-148 [Zbl 1026.62122] \textit{Levasseur, Claudine; Landry, Pierre-Alexandre; Lapointe, François-Joseph}, Estimating trees from incomplete distance matrices: A comparison of two methods, 149-154 [Zbl 1184.62117] \textit{Martín-Fernández, J. A.; Barceló-Vidal, C.; Pawlowsky-Glahn, V.}, Zero replacement in compositional data sets, 155-160 [Zbl 1101.62352] \textit{Ambroise, C.; Govaert, G.}, EM algorithm for partially known labels, 161-166 [Zbl 1029.62056] \textit{Bardos, Mireille}, Detection of company failure and global risk forecasting, 169-174 [Zbl 1062.91560] \textit{Brito, Isabel; Celeux, Gilles}, Discriminant analysis by hierarchical coupling in EDDA context, 175-180 [Zbl 1028.62051] \textit{Ferreira, Ana Sousa; Celeux, Gilles; Bacelar-Nicolau, Helena}, Discrete discriminant analysis: The performance of combining models by a hierarchical coupling approach, 181-186 [Zbl 1028.62050] \textit{Chamlal, H.; Chah, S. Slaoui}, Discrimination based on the atypicity index versus density function ratio, 187-192 [Zbl 1026.62061] \textit{Cappelli, Carmela; Mola, Francesco; Siciliano, Roberta}, A third stage in regression tree growing: searching for statistical reliability, 193-198 [Zbl 1102.62312] \textit{Chauchat, J. H.; Rakotomalala, R.}, A new sampling strategy for building decision trees from large databases, 199-204 [Zbl 1102.68479] \textit{Conversano, Claudio; Mola, Francesco; Siciliano, Roberta}, Generalized additive multi-model for classification and prediction, 205-210 [Zbl 1028.62052] \textit{Miglio, Rossella; Pillati, Marilena}, Radial basis function networks and decision trees in the determination of a classifier, 211-216 [Zbl 1029.62058] \textit{Torgo, Luis; da Costa, J. Pinto}, Clustered multiple regression, 217-222 [Zbl 1102.62338] \textit{Ultsch, Alfred}, Visualisation and classification with artificial life, 229-234 [Zbl 1031.68569] \textit{Porzio, Giovanni C.; Ragozini, Giancarlo}, Exploring the periphery of data scatters: Are there outliers?, 235-240 [Zbl 1026.62001] \textit{Rémon, Marcel}, Discriminant analysis tools for non convex pattern recognition, 241-246 [Zbl 1026.62062] \textit{Sbihi, A.; Moussa, A.; Benmiloud, B.; Postaire, J.-G.}, A Markovian approach to unsupervised multidimensional pattern classification, 247-252 [Zbl 1026.62101] \textit{Mizuta, Masahiro; Minami, Hiroyuki}, An algorithm with projection pursuit for sliced inverse regression model, 255-260 [Zbl 1026.62071] \textit{Polasek, Wolfgang; Liu, Shuangzhe}, Testing constraints sand misspecification in VAR-ARCH models, 261-266 [Zbl 1026.62093] \textit{Rivas Moya, Teresa}, Goodness of fit measure based on sample isotone regression of Mokken double monotonicity model, 267-272 [Zbl 1102.62316] \textit{Coppi, Renato; D'Urso, Pierpaolo}, Fuzzy time arrays and dissimilarity measures for fuzzy time trajectories, 273-278 [Zbl 1102.62313] \textit{Vicari, Donatella}, Three-way partial correlation measures, 279-284 [Zbl 1026.62059] \textit{Wasserman, Stanley; Pattison, Philippa}, Statistical models for social networks, 285-295 [Zbl 1062.91598] \textit{Trejos, Javier; Castillo, William; González, Jorge; Villalobos, Mario}, Application of simulated annealing in some multidimensional scaling problems, 297-302 [Zbl 1101.91354] \textit{Bonnevay, S.; Largeron-Leteno, C.}, Data analysis based on minimal closed subsets, 303-308 [Zbl 1102.62301] \textit{Van Aelst, Stefan; Van Driessen, Katrien; Rousseeuw, Peter J.}, A robust method for multivariate regression, 309-314 [Zbl 1026.62029] \textit{Gather, Ursula; Becker, Claudia; Kuhnt, Sonja}, Robust methods for complex data structures, 315-320 [Zbl 1028.62016] \textit{Dehon, Catherine; Filzmoser, Peter; Croux, Christophe}, Robust methods for canonical correlation analysis, 321-326 [Zbl 1026.62060] \textit{Ohsumi, Noboru}, From data analysis to data science, 327-334 [Zbl 1101.62301] \textit{Hayashi, Chikio}, Evaluation of data quality and data analysis, 335-340 [Zbl 1102.62305] \textit{De Cantis, Stefano; Oliveri, Antonino M.}, Collapsibility and collapsing multidimensional contingency tables -- perspectives and implications, 341-346 [Zbl 1026.62058] \textit{Vehovar, Vasja; Manfreda, Katja Lozar; Batagelj, Zenel}, Data collected on the Web, 347-352 [Zbl 1031.68992] \textit{Yoshimura, Osamu; Ohsumi, Noboru}, Some experimental surveys on the WWW environments in Japan, 353-358 [Zbl 1031.68993] \textit{Scagni, Andrea}, Bootstrap goodness-of-fit tests for complex survey samples, 359-365 [Zbl 1027.62029] \textit{Billard, L.; Diday, E.}, Regression analysis for interval-valued data, 369-374 [Zbl 1026.62073] \textit{de Carvalho, Francisco de A. T.; de F. Anselmo, Cezar A.; de Souza, Renata M. C. R.}, Symbolic approach to classify large data sets, 375-380 [Zbl 1102.62308] \textit{Lauro, N. C.; Verde, R.; Palumbo, F.}, Factorial methods with cohesion constraints on symbolic objects, 381-386 [Zbl 1027.62045] \textit{Verde, Rosanna; de Carvalho, Francisco de A. T.; Lechevallier, Yves}, A dynamical clustering algorithm for multi-nominal data, 387-393 [Zbl 1026.62069] \textit{Hébrail, Georges; Lechevallier, Yves}, DB2SO: a software for building symbolic objects from databases, 395-400 [Zbl 1102.62306] \textit{Bisdorff, Raymond; Diday, Edwin}, Symbolic data analysis of the SODAS software in official statistics, 401-407 [Zbl 1102.62300] \textit{Bravo, M. Carmen}, Strata decision tree SDA software, 409-415 [Zbl 1102.62302] \textit{Gettler Summa, Mireille}, Marking and generalization by symbolic objects in the Symbolic Official Data Analysis Software, 417-422 [Zbl 1102.62304]
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    Proceedings
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    Conference
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    Data analysis
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    Namur (Belgium)
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