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62H30 Classification and discrimination; cluster analysis (40 articles)

• Vencálek, Ondřej; Hlubinka, Daniel: A depth-based modification of the k-nearest neighbour method. (English). Kybernetika, vol. 57 (2021), issue 1, pp. 15-37
• Vencálek, Ondřej; Demni, Houyem; Messaoud, Amor; Porzio, Giovanni C.: On the optimality of the max-depth and max-rank classifiers for spherical data. (English). Applications of Mathematics, vol. 65 (2020), issue 3, pp. 331-342
• Kůs, Václav; Morales, Domingo; Hrabáková, Jitka; Frýdlová, Iva: Existence, Consistency and computer simulation for selected variants of minimum distance estimators. (English). Kybernetika, vol. 54 (2018), issue 2, pp. 336-350
• Mola, Francesco; Antoch, Jaromír; Frigau, Luca; Conversano, Claudio: Classification of Images Background Subtraction in Image Segmentation. (English). Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica, vol. 55 (2016), issue 1, pp. 73-86
• Sabo, Miroslav: Consensus clustering with differential evolution. (English). Kybernetika, vol. 50 (2014), issue 5, pp. 661-678
• Sabo, Kristian; Scitovski, Rudolf: Interpretation and optimization of the $k$-means algorithm. (English). Applications of Mathematics, vol. 59 (2014), issue 4, pp. 391-406
• Vencálek, Ondřej: $k$-Depth-nearest Neighbour Method and its Performance on Skew-normal Distributons. (English). Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica, vol. 52 (2013), issue 2, pp. 121-129
• Frýdlová, Iva; Vajda, Igor; Kůs, Václav: Modified power divergence estimators in normal models – simulation and comparative study. (English). Kybernetika, vol. 48 (2012), issue 4, pp. 795-808
• Somol, Petr; Grim, Jiří; Novovičová, Jana; Pudil, Pavel: Improving feature selection process resistance to failures caused by curse-of-dimensionality effects. (English). Kybernetika, vol. 47 (2011), issue 3, pp. 401-425
• Kreitmeier, Wolfgang: Optimal quantization for the one–dimensional uniform distribution with Rényi-$\alpha$-entropy constraints. (English). Kybernetika, vol. 46 (2010), issue 1, pp. 96-113
• Vajda, Igor: On metric divergences of probability measures. (English). Kybernetika, vol. 45 (2009), issue 6, pp. 885-900
• Kůs, Václav; Morales, Domingo; Vajda, Igor: Extensions of the parametric families of divergences used in statistical inference. (English). Kybernetika, vol. 44 (2008), issue 1, pp. 95-112
• Grim, Jiří: Neuromorphic features of probabilistic neural networks. (English). Kybernetika, vol. 43 (2007), issue 5, pp. 697-712
• Somol, Petr; Novovičová, Jana; Pudil, Pavel: Notes on the evolution of feature selection methodology. (English). Kybernetika, vol. 43 (2007), issue 5, pp. 713-730
• Muldowney, Patrick: A Riemann approach to random variation. (English). Mathematica Bohemica, vol. 131 (2006), issue 2, pp. 167-188
• Novovičová, Jana; Malík, Antonín: Text document classification based on mixture models. (English). Kybernetika, vol. 40 (2004), issue 3, pp. [293]-304
• Žák, Libor: Clustering of vaguely defined objects. (English). Archivum Mathematicum, vol. 39 (2003), issue 1, pp. 37-50
• Liese, Friedrich; Miescke, Klaus J.: Exponential rates for the error probabilities in selection procedures. (English). Kybernetika, vol. 35 (1999), issue 3, pp. [309]-332
• Ferri, Francesc J.: Combining adaptive vector quantization and prototype selection techniques to improve nearest neighbour classifiers. (English). Kybernetika, vol. 34 (1998), issue 4, pp. [405]-410
• Sato, Manabu; Kudo, Mineichi; Toyama, Jun; Shimbo, Masaru: Construction of nonlinear discrimination function based on the MDL criterion. (English). Kybernetika, vol. 34 (1998), issue 4, pp. [467]-472
• Brailovsky, Victor L.; Har-Even, Michael: Detecting a data set structure through the use of nonlinear projections search and optimization. (English). Kybernetika, vol. 34 (1998), issue 4, pp. [375]-380
• Duin, Robert P. W.; de Ridder, Dick; Tax, David M. J.: Featureless pattern classification. (English). Kybernetika, vol. 34 (1998), issue 4, pp. [399]-404
• Dang, Mô; Govaert, Gérard: Fuzzy clustering of spatial binary data. (English). Kybernetika, vol. 34 (1998), issue 4, pp. [393]-398
• van Breukelen, M.; Duin, R. P. W.; Tax, D. M. J.; Hartog, J. E. den: Handwritten digit recognition by combined classifiers. (English). Kybernetika, vol. 34 (1998), issue 4, pp. [381]-386
• Raudys, Šarūnas: Intrinsic dimensionality and small sample properties of classifiers. (English). Kybernetika, vol. 34 (1998), issue 4, pp. [461]-466
• Vajda, Igor; Lonek, Belomír; Nikolov, Viktor; Veselý, Arnošt: Neural network realizations of Bayes decision rules for exponentially distributed data. (English). Kybernetika, vol. 34 (1998), issue 5, pp. [497]-514
• Flusser, Jan; Suk, Tomáš: On selecting the best features in a noisy environment. (English). Kybernetika, vol. 34 (1998), issue 4, pp. [411]-416
• Bruzzone, Lorenzo; Serpico, Sebastiano B.: A simple upper bound to the Bayes error probability for feature selection. (English). Kybernetika, vol. 34 (1998), issue 4, pp. [387]-392
• Pudil, Pavel; Novovičová, Jana; Bláha, Svatopluk: Statistical approach to pattern recognition: Theory and practical solution by means of PREDITAS system. (English). Kybernetika, vol. 27 (1991), issue 7, pp. (1),3-76
• Řehák, Jan; Řeháková, Blanka: Classifications with relations. II. Asymptotic testing and estimation. (English). Kybernetika, vol. 23 (1987), issue 4, pp. 305-318
• Řehák, Jan; Řeháková, Blanka: Classifications with relations. I. A model for the description of distributions and their distances. (English). Kybernetika, vol. 22 (1986), issue 2, pp. 158-175
• Grim, Jiří: Multimodal discrete Karhunen-Loève expansion. (English). Kybernetika, vol. 22 (1986), issue 4, pp. 329,330-339
• Grim, Jiří: Multivariate statistical pattern recognition with nonreduced dimensionality. (English). Kybernetika, vol. 22 (1986), issue 2, pp. 142-157
• Křivánek, Mirko: A note on the computational complexity of hierarchical overlapping clustering. (English). Aplikace matematiky, vol. 30 (1985), issue 6, pp. 453-460
• Eben, Kryštof: Classification into two von Mises distributions with unknown mean directions. (English). Aplikace matematiky, vol. 28 (1983), issue 3, pp. 230-237
• Veselý, Arnošt: Logically orientated cluster analysis. (English). Kybernetika, vol. 17 (1981), issue 1, pp. 82-92
• Filáček, Adolf; Koutník, Václav; Vondráček, Jiří: Shluková analysa. (Czech) [Cluster analysis]. Časopis pro pěstování matematiky, vol. 102 (1977), issue 4, pp. 389-411
• Fučík, Josef: An agglomerative method for automatic forming of hierarchical classification. (English). Aplikace matematiky, vol. 20 (1975), issue 3, pp. 186-205
• Polách, Jiří: The possibilities of the linear discriminant method for decision. (English). Kybernetika, vol. 10 (1974), issue 1, pp. (44)-48
• Nguyen, van Huu: A rank decision rule for a combined problem of testing and classification. (English). Aplikace matematiky, vol. 19 (1974), issue 3, pp. 152-168