Clustering is the problem of partitioning data into a finite number k of homogeneous and separate groups, called clusters. A good choice of k is essential for building meaningful clusters. In this paper, this task is addressed from the point of view of model selection via penalization. We design...

Data in practical applications (e.g., images, molecular biology, etc) is mostly characterised by high dimensionality and huge size or number of data instances. Though, feature reduction techniques have been successful in reducing the dimensionality for certain applications, dealing with high...

This paper reviews several popular economic development strategies and discusses the practical problem of identifying leading industries and innovation clusters for government regulatory and financial support. Although there is no substitute for in-depth industry-by-industry analysis, several...

The multidimensional data model can be effectively utilised for analysing huge and detailed meteorological datasets forecasted by numerical weather prediction (NWP) model. The model cannot predict any weather event directly. The output products of model are interpreted by man-machine mix to...

A new dimension reduction method is proposed for functional multivariate regression with a multivariate response and a functional predictor by extending the functional sliced inverse regression model. Naive application of existing dimension reduction techniques for univariate response will...

We investigate a nonparametric panel model with heterogeneous regression functions. In a variety of applications, it is natural to impose a group structure on the regression curves. Specifically, we may suppose that the observed individuals can be grouped into a number of classes whose members...

The input–output balance methodology has been applied to characterize the energy balance of agricultural systems. This study proposes to extend this methodology with the inclusion of multivariate analysis to reveal particular patterns in the energy use of a system. The objective was to...

This paper proposes the application of taxonomic tools to study the differentiation of standard of living in the European Union countries. The aggre-gate distance between given countries is the basis for grouping member states in terms of their internal structure of the studied characteristics....

This paper proposes the application of taxonomic tools to study the differentiation of standard of living in the European Union countries. The aggre-gate distance between given countries is the basis for grouping member states in terms of their internal structure of the studied characteristics....

Multiple institutional affiliations occur when an academic belongs to more than one organisation. Recent research shows an increase in multiple affiliations, but evidence on roles and motivations is mainly anecdotal. We develop in this study a typology of co-affiliations which identifies four...