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Titlebook: Data Analysis and Rationality in a Complex World; Theodore Chadjipadelis,Berthold Lausen,Rebecca Nug Conference proceedings 2021 Springer

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發(fā)表于 2025-3-23 10:28:19 | 只看該作者
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發(fā)表于 2025-3-23 17:40:56 | 只看該作者
,A Generalized Coefficient of?Determination for Mixtures of?Regressions,ecomposition, local and overall coefficients of determination are, respectively, defined to judge how well the model fits the data group-by-group but also taken as a whole. An application to real data illustrates the use and the usefulness of these proposals.
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發(fā)表于 2025-3-23 19:58:06 | 只看該作者
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發(fā)表于 2025-3-23 22:45:33 | 只看該作者
,Text, Content and Data Analysis of?Journal Articles: The Field of?International Relations,scourse—through specific tools of data analysis—with research on the development of a scientific field, namely International Relations. Preliminary results on field-related published journal articles demonstrate the effectiveness of the proposed methodology.
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發(fā)表于 2025-3-24 04:06:44 | 只看該作者
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發(fā)表于 2025-3-24 06:54:20 | 只看該作者
1431-8814 variety of applications in economics, finance, computer scie.This volume presents the latest advances in statistics and data science, including theoretical, methodological and computational developments and practical applications related to classification and clustering, data gathering, exploratory
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發(fā)表于 2025-3-24 14:04:45 | 只看該作者
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發(fā)表于 2025-3-24 18:14:25 | 只看該作者
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發(fā)表于 2025-3-24 22:58:45 | 只看該作者
https://doi.org/10.1007/978-3-662-06255-5ng station data. We show that by grouping nearby stations, we can reduce the number of stations considered by a factor of 13 and increase the speed of computation by a factor of 35, while having a very limited trade-off increase, of less than ., on the average journey duration time.
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發(fā)表于 2025-3-24 23:32:41 | 只看該作者
Chromosomes in the Mitotic Cell Cycleer clustering algorithm, KAMILA, against K-prototypes and tandem analysis where data are preprocessed using multiple correspondence analysis and then clustered using K-means, fuzzy K-means, probabilistic distance clustering (PD), and Student-. mixture models.
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