The p-median offers an alternative to centroid-based clustering algorithms for identifying unobserved categories …

features in the variable space. Many of the variable selection techniques that are commonly used alongside clustering … clustering and classification analyses that is both intuitive and computationally efficient. We focus largely on applications in … mixture model-based learning, but the technique could be adapted for use with various other clustering/classification methods …

such as clustering. Though a binary integer linear programming formulation has been known for years, one needs to deal with …

dieselben Entwicklungsmaßnahmen benötigen. Die erste Typisierung mithilfe einer Clusteranalyse klassifizierte die NUTS-3 …

new growth theory and new economic geography, and using relevant empirical literature, regions are clustered according to … a set of growth factors. The clustering results find little evidence that the economic capability of East German regions …