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Titlebook: Classification and Information Processing at the Turn of the Millennium; Proceedings of the 2 Reinhold Decker,Wolfgang Gaul Conference proc

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樓主: 浮華
51#
發(fā)表于 2025-3-30 09:13:40 | 只看該作者
Standardisation of Data Set under Different Measurement Scalesultidimensional scaling. Different studies (e.g. Milligan, Cooper (1988)) show the effect of standardisation on the cluster structure in various data configurations. In the paper a survey of standardisation formulas is given. Then we consider the problem of different scales of measurement and their impact on:
52#
發(fā)表于 2025-3-30 12:44:32 | 只看該作者
Clustering Techniques for the Detection of Business Cyclesok for the number of phases of a business cycle, which can be motivated by the number of clusters in a given dataset of macro-economical variables. Different approaches to distances in the data are tried in a fuzzy cluster analysis to pursue this goal.
53#
發(fā)表于 2025-3-30 19:18:55 | 只看該作者
Classification and Information Processing at the Turn of the Millennium978-3-642-57280-7Series ISSN 1431-8814 Series E-ISSN 2198-3321
54#
發(fā)表于 2025-3-30 20:46:20 | 只看該作者
55#
發(fā)表于 2025-3-31 02:54:57 | 只看該作者
56#
發(fā)表于 2025-3-31 06:13:47 | 只看該作者
https://doi.org/10.1007/978-981-10-4612-4ok for the number of phases of a business cycle, which can be motivated by the number of clusters in a given dataset of macro-economical variables. Different approaches to distances in the data are tried in a fuzzy cluster analysis to pursue this goal.
57#
發(fā)表于 2025-3-31 09:16:25 | 只看該作者
58#
發(fā)表于 2025-3-31 14:02:44 | 只看該作者
https://doi.org/10.1007/978-3-642-57280-7Analysis of variance; Latent variable model; Measure; clustering; data analysis; information; information
59#
發(fā)表于 2025-3-31 20:06:26 | 只看該作者
60#
發(fā)表于 2025-4-1 00:16:42 | 只看該作者
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