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

cauda-equina

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:

Alcove

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.

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Classification and Information Processing at the Turn of the Millennium978-3-642-57280-7Series ISSN 1431-8814 Series E-ISSN 2198-3321

FLINT

accessory

FLOAT

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.

PAD416

低能儿

https://doi.org/10.1007/978-3-642-57280-7Analysis of variance; Latent variable model; Measure; clustering; data analysis; information; information

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符合国情