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  • Search: subject:"partitional clustering"
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Year of publication
Subject
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Algorithm 1 Algorithmus 1 Artificial intelligence 1 Bump hunting 1 Cluster analysis 1 Clusteranalyse 1 DB Index 1 EM algorithm 1 Finite mixtures of densities 1 Künstliche Intelligenz 1 MSE 1 Machine learning 1 Multi-Objective Optimization 1 Multisphere 1 Partial heterogeneity 1 Partitional Clustering 1 Partitional clustering 1 Partitional clustering methods 1 Pearson system 1 Regional cluster 1 Regionales Cluster 1 Spherical separation 1 Stability 1 Sym-Index 1 Theorie 1 Theory 1 Transportation problem 1 Transportproblem 1 XB-Index 1 information-based criterion 1 model selection 1 partitional clustering 1
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Online availability
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Undetermined 3 Free 1
Type of publication
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Article 3 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2 Undetermined 2
Author
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Astorino, Annabella 1 Avolio, Matteo 1 Bagnato, Luca 1 Canino, Annamaria 1 Crupi, Teresa 1 Fuduli, Antonio 1 K., Aparna 1 Nair, Mydhili K. 1 Punzo, Antonio 1 Sarafidis, Vasilis 1 Weber, Neville 1
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Institution
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Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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Computational Statistics 1 International Journal of Applied Evolutionary Computation (IJAEC) 1 MPRA Paper 1 Operations research letters 1
Source
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RePEc 2 ECONIS (ZBW) 1 Other ZBW resources 1
Showing 1 - 4 of 4
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Partitional clustering via successive transportation problems
Astorino, Annabella; Avolio, Matteo; Canino, Annamaria; … - In: Operations research letters 51 (2023) 1, pp. 40-46
Persistent link: https://www.econbiz.de/10014283284
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Development of Fractional Genetic PSO Algorithm for Multi Objective Data Clustering
Nair, Mydhili K.; K., Aparna - In: International Journal of Applied Evolutionary … 7 (2016) 3, pp. 1-16
Clustering is the task of finding natural partitioning within a data set such that data items within the same group are more similar than those within different groups. The performance of the traditional K-Means and Bisecting K-Means algorithm degrades as the dimensionality of the data...
Persistent link: https://www.econbiz.de/10012042699
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To Pool or Not to Pool: A Partially Heterogeneous Framework
Sarafidis, Vasilis; Weber, Neville - Volkswirtschaftliche Fakultät, … - 2009
concept of "partitional clustering". In particular, the population of cross-sectional units is grouped into clusters, such …
Persistent link: https://www.econbiz.de/10008615614
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Finite mixtures of unimodal beta and gamma densities and the <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$k$$</EquationSource> </InlineEquation>-bumps algorithm
Bagnato, Luca; Punzo, Antonio - In: Computational Statistics 28 (2013) 4, pp. 1571-1597
flexible modeling approach. Accordingly, a mode-based parameterization of the components is provided. A partitional clustering …
Persistent link: https://www.econbiz.de/10010998503
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