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

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楼主: exposulate
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Teaching Out-of-Field Internationallyeudo-numerical representation such as Likert-type scoring. This aspect is first explained, and then we turn our attention to the analysis of nominally represented data. For the analysis of a large number of variables, one typically resorts to dimension reduction, and its necessity is often greater w
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Energy Deposition by X-Rays and Electrons,s an initial analysis, a clustering algorithm is applied to the data. However, traditional clustering algorithms cannot factor in the effects of occasions. In addition, it is difficult to understand these typically high-dimensional data. Although Vichi et al. (J Classif 24(1):71–98, 2007) proposed t
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https://doi.org/10.1007/978-0-85729-380-0J Mark Res 32:152–162, 1995, 35:384–389, 1998; Baier and Polasek, Stud Classif Data Anal Knowl Organ 22:413–421, 2003; Otter et al., Int J Res Mark 21(3):285–297, 2004). Comparisons have shown that these new methods compete well with the traditional ones where latent classes are used for this purpos
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Material properties of soft soils,s among three or more objects, but instead, those between two objects. However, there exist some approaches for analyzing one-mode three-way asymmetric proximity data that represent triadic relationships among three objects. Nonetheless, a method that evaluates the asymmetry of one-mode three-way as
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Berechnungen aus der Elektrotechnik,NDSCAL model, which assumes that the objects are embedded in a discrete or continuous space common to all data, including individual differences obtained by weighting each dimension. We apply some effective dynamic graphical approaches using two methods to perform a time-space structural analysis fo
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