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New variational Bayesian approaches for statistical data mining : with applications to profiling and differentiating habitual consumption behaviour of customers in the wireless telecommunication industry

Wu, Burton - 2011

clustering models based on Gaussian mixture models (GMMs) which are fitted with the use of the recently developed variational ….e., the temporal usage behaviour, and developing clustering algorithms suitable for high dimensional data based on the use of …

Persistent link: https://www.econbiz.de/10009438102

Diversity of education systems in the European Union

Żurawski, Andrzej - In: International Journal of Management and Economics 55 (2019) 3, pp. 230-249

in terms of higher education systems. The clustering shows, that - with some exceptions (notably the United Kingdom and …

Persistent link: https://www.econbiz.de/10015192090

Distinguishing organisational profiles of food loss management in logistics

Kleineidam, Julia - In: Logistics 6 (2022) 3, pp. 1-23

: Based on an online survey of 40 participants, a clustering analysis was conducted using the unsupervised learning method and … hierarchical clustering (R and R Studio). Results: Five clusters representing different profiles were derived, showing how actors …

Persistent link: https://www.econbiz.de/10015194805

Investigating asymmetries in the bank lending channel. An analysis using Austrian banks' balance sheet data

Fruehwirth-Schnatter, Sylvia; Kaufmann, Sylvia - 2003

In the present paper we use a balanced bank panel data set to obtain an inference on two dimensions of the asymmetric response of bank lending to interest rate changes. The cross-sectional dimension is captured by group-specific parameters whereby each bank's group membership is estimated along...

Persistent link: https://www.econbiz.de/10013370002

Suporte agrícola a partir de dados da Organização Para a Cooperação e o Desenvolvimento Econômico (OCDE): Duas décadas sob análise

Freitas, Rogério Edivaldo - 2022

's correlation coefficient, time trend analysis and clustering procedures. Data from Organization for Economic Co-operation and … (CSE). We compared the results of two agglomerative clustering methods and identified groups of similar countries on the …

Persistent link: https://www.econbiz.de/10013400223

Expansão de área agrícola no Brasil segundo as lavouras temporárias

Freitas, Rogério Edivaldo - 2022

mesoregions. The study used a four-stage methodology, compared the results of two agglomerative clustering methods, and identified …

Persistent link: https://www.econbiz.de/10014278388

Approximating grouped fixed effects estimation via fuzzy clustering regression

Lewis, Daniel J.; Melcangi, Davide; Pilossoph, Laura; … - 2022

-means objective to regression settings. As the regularization parameter m approaches 1, the fuzzy clustering objective converges to …

Persistent link: https://www.econbiz.de/10014302755

Democracy clusters and patterns of inequality: A k-means approach

Puzon, Klarizze Anne Martin - 2023

This paper employs k-means clustering, a multidimensional pattern recognition method, to categorize countries using …

Persistent link: https://www.econbiz.de/10014477521

Endline Study Report and Policy Study for the ConVERGE Project

Briones, Roehlano M.; Galang, Ivory Myka R.; Espineli, … - 2023

. Beneficiaries express satisfaction with the Project but have limited understanding of its rationale. The clustering method, which …

Persistent link: https://www.econbiz.de/10014485017

Expansão da área agrícola no Brasil segundo as lavouras permanentes

Freitas, Rogério Edivaldo - 2023

their mesoregions. We applied a four-stage methodology, compared the results of two agglomerative clustering methods, and …

Persistent link: https://www.econbiz.de/10014486083