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Here the problem of selecting the number of clusters in cluster analysis is considered. Recently, the concept of clustering stability, which measures the robustness of any given clustering algorithm, has been utilized in Wang (2010) for selecting the number of clusters through cross validation....
Persistent link: https://www.econbiz.de/10010871424
Electronic commerce and flexible manufacturing allow personalization of initially standardized products at low cost …. Will customers provide the information necessary for personalization? Assuming that a consumer can control the amount of …Elektronischer Handel und flexible Produktionstechnologien ermöglichen eine kostengünstige Personalisierung ehemals …
Persistent link: https://www.econbiz.de/10008462102
Die deutsche Land- und Ernährungswirtschaft ist zunehmend im Fokus der öffentlichen Diskussion. Dabei bewegt sie sich in einem Spannungsfeld von marktlichen Anforderungen und gesellschaftlichen Erwartungen. Um Rückschlüsse auf das generelle Meinungsklima zu gewinnen, wird in dieser Arbeit...
Persistent link: https://www.econbiz.de/10009326500
dieselben Entwicklungsmaßnahmen benötigen. Die erste Typisierung mithilfe einer Clusteranalyse klassifizierte die NUTS-3 …
Persistent link: https://www.econbiz.de/10008526803
Kronthaler F. (2005) Economic capability of East German regions: results of a cluster analysis, Regional Studies 39 , 739-750. This paper analyses the economic capability of East German regions compared with West German regions. Based on new growth theory and new economic geography, and using...
Persistent link: https://www.econbiz.de/10005638192
Due to its high resource use and negative impacts on the environment (e.g. climate effects and land-use intensity) the production of animal-based food products is increasingly criticized. Moreover, high consumption of meat is linked with negative impacts on consumer health. In light of these...
Persistent link: https://www.econbiz.de/10011069520
In this paper, we develop a family of data clustering algorithms that combine the strengths of existing spectral approaches to clustering with various desirable properties of fuzzy methods. In particular, we show that the developed method “Fuzzy-RW,” outperforms other frequently used...
Persistent link: https://www.econbiz.de/10010995275
In this paper, we develop a novel method to detect the community structure in complex networks. This approach is based on the combination of kernel-based clustering using quantum mechanics, the spectral clustering technique and the concept of the Bayesian information criterion. We test the...
Persistent link: https://www.econbiz.de/10010873776
Predicting the wind speed at multiple time points over a time span between two and 4 h typically requires a multi-input/multi-output model. This study investigates a wind speed forecasting method based on spectral clustering (SC) and echo state networks (ESNs). A wavelet transformation was used...
Persistent link: https://www.econbiz.de/10011208700
An important and yet unsolved problem in unsupervised data clustering is how to determine the number of clusters. The proposed slope statistic is a non-parametric and data driven approach for estimating the number of clusters in a dataset. This technique uses the output of any clustering...
Persistent link: https://www.econbiz.de/10010738196