In this paper we propose an unsupervised voting-merging scheme that is capable of clustering data sets, and also of finding the number of clusters existing in them. The voting part of the algorithm allows us to combine several runs of clustering algorithms resulting in a common partition.(...)

In this paper we introduce a mixed approach for the semi-supervised data problem. Our approach consists of an ensemble unsupervised learning part where the labeled and unlabeled points are segmented into clusters.(...)

Wirft man einen Blick auf die Veränderungen der Agrarstrukturen in den letzten Dekaden,so fällt einem unweigerlich die Entwicklung Nordwestdeutschlands auf. Auseinem Gebiet, zum Teil geprägt durch „Ungunsträume“ und Selbstversorgungsstrukturen(Windhorst und Klohn, 1995; Campos, 1992),...

In this paper we use a novel approach and a large Portuguese employer-employee paneldata set to study the hypothesis that industrial agglomeration improves the quality of the firmworkermatching process. Our method makes use of recent developments in the estimationand analysis of models with...

European cities like Rome, Helsinki and Dublin differ from one another by virtue ofregional architectonic peculiarities and individual problems caused by the social andeconomic changes each city is facing. “What they have in common is that theircharacter is determined by the model of the...