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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) Zbl 0976.00026

Show indexed articles as search result.

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

MSC:

00B25 Proceedings of conferences of miscellaneous specific interest
62-06 Proceedings, conferences, collections, etc. pertaining to statistics
62H30 Classification and discrimination; cluster analysis (statistical aspects)
62-07 Data analysis (statistics) (MSC2010)

Citations:

Zbl 0732.00020