This article describes how data is relevant and if it can be organized, linked with other data and grouped into a cluster. Clustering is the process of organizing a given set of objects into a set of disjoint groups called clusters. There are a number of clustering algorithms like k-means,...

Triggered by the phenomenon of globalisation, during recent years there has been a process of State policy rationalisation in the social expenditure domain; hence the debate over the present role and dimension of welfare state has intensified. Following on the extensive multidisciplinary...

Taking 14 cities of Gansu Province as examples, this paper adopts the Principal Component Analysis and Cluster Analysis methods based on the theory of sustainable development and ecological city. A total of 36 index factors of the sustainable development of eco-city are selected. Through...

This research investigates eco-clusters as driver for greening regional economic policy and examines necessary incentive structures to foster eco-innovation as well as growth and employment in the eco-industry sector. Eco-clusters are seen in context with sustainability and environmental...

The MDGs are interlinked: acceleration in one goal is likely to speed up progress in others. Nevertheless, these synergies are not always visible, and may differ across countries. Using bivariate cluster analysis, this paper investigates whether distinct groups of developing countries can be...