We apply a functional data approach for mixture model-based multivariate innovation clustering to identify different regional innovation portfolios in Europe. Innovation concentration is considered as pattern of specialization among innovation types. We examine patent registration data and...

Background: Industry clusters and their relationship with the organization's success, competitive advantage and innovations have been gaining research interest for decades, with the recent focus on defence industry. Objectives: The aim is to investigate how Croatian Defense Industry...

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...

We introduce a new dynamic clustering method for multivariate panel data char-acterized by time-variation in cluster locations and shapes, cluster compositions, and, possibly, the number of clusters. To avoid overly frequent cluster switching (flickering), we extend standard cross-sectional...

We introduce a new method for dynamic clustering of panel data with dynamics for cluster location and shape, cluster composition, and for the number of clusters. Whereas current techniques typically result in (economically) too many switches, our method results in economically more meaningful...

Clustering methods such as k-means have found widespread use in a variety of applications. This paper proposes a formal testing procedure to determine whether a null hypothesis of a single cluster, indicating homogeneity of the data, can be rejected in favor of multiple clusters. The test is...

Demonstration of nonlinear nonparametric regression technique using R-package "NNS" and comparison to kernel based regression methods in goodness of fit, partial derivative estimation, and out-of-sample extrapolation

This paper investigates the trade competitiveness of the new emerging Southern economies – China, India, Brazil and South Africa (CIBS) – with respect to their main global partners. Starting from the commonly held view that countries with trade patterns similar to those of emerging countries...

There is no universally accepted definition of a cluster. Experts in different regions of the world, however, have defined cluster as per respective national economies. Porter (2003) defines a cluster as a 'geographically proximate group of interconnected companies, suppliers, service providers...

Anomaly-detection methods are aimed at identifying observations that deviate manifestly from what is expected. Such methods are usually run on low-dimensional data, such as time series data. However, the increasing importance of high-dimensional payments and exposure data for financial oversight...