Titlebook: German-Japanese Interchange of Data Analysis Results; Wolfgang Gaul,Andreas Geyer-Schulz,Akinori Okada Conference proceedings 2014 Springe

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Wolfgang Gaul,Andreas Geyer-Schulz,Akinori OkadaFocuses on the interface between Data Analysis and Computer Science.Presents innovative methods and results for many data analysis problems.Offers applications from a wide area of disciplines?.Include

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German-Japanese Interchange of Data Analysis Results978-3-319-01264-3Series ISSN 1431-8814 Series E-ISSN 2198-3321

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https://doi.org/10.1007/978-3-030-69452-4gorithm is a non-deterministic agglomerative hierarchical clustering approach which finds locally optimal solutions. In this contribution we analyze the similarity of the randomized greedy modularity algorithm with incomplete solvers for the satisfiability problem and we establish an analogy between

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Teaching Out-of-Field Internationallyscaling (Carroll JD, Green PE, Schaffer CM (1986) J Mark Res 23(3):271–280). The current paper will then introduce a simple procedure for the analysis of a hyper-dimensional configuration of data, called cluster analysis through filters. A numerical example will be presented to show a clear contrast

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https://doi.org/10.1007/978-0-85729-380-0, 2002b; Moore, Int J Res Mark 21:299–312, 2004; Karniouchina et al., Eur J Oper Res 19(1):340–348, 2009, with comparative results). However, the question is still open whether this superiority still holds when the latent class approach is combined with the Bayesian one. This paper responds to this

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