strategies and their application to portfolio selection, model estimation, model selection and financial clustering. …

literature to explain the generation of market incentives clustering. The model helps to understand the role of each of these … clustering. The factors analysed are: (i) existence of externalities, (ii) increasing returns to scale and (iii) spatial … incentives for clustering. The two others demand the existence of externality to be able to generate market incentives of …

This paper discuss the theoretical background of the ideas which support clustering policies. It is argued that in … spite of having been fostered under ideological hegemony of liberal ideas, the clustering policies framework does not rely …

the final dissimilarity between trajectories that can be further used for clustering or classification tasks. In … the derived dissimilarity yielded good clustering results comparable to DTW. We also demonstrate using real medical data …

Multiple testing analysis, based on clustering methodologies, is usually applied in Microarray Data Analysis for …