Automatic marbles classification based on their visual appearance is an important industrial issue. However, there is no definitive solution to the problem mainly due to the presence of randomly distributed high number of different colours and its subjective evaluation by the human expert. In this paper we present a study of segmentation techniques, we evaluate they overall performance using a ...

This paper analyses the growth and spatial evolution of the Danish IT sector during the upswing in the 1990s. The IT sector employment and the number of firms have more than doubled during a decade, but the evolution indicate a ‘non random’ clustering of the industry around the larger urban areas. The paper focuses on dominant forces in shaping the growth and spatial evolution of the industry a...

This paper shows the solution provided by D’Appolonia for the support to the maintenance companies and every other enterprise having the need to manage a large amount of electronic documents as textual files, pictures, and cad files. The architecture of the system involves indexing techniques, clustering algorithms and the use of ontologies. The final product will be a tool which helps the end-...

Existing hierarchical clustering algorithms involve a flat clustering component and an additional agglomerative or divisive procedure. This paper presents a density peak based hierarchical clustering method (DenPEHC), which directly generates clusters on each possible clustering layer, and introduces a grid granulation framework to enable DenPEHC to cluster large-scale and high-dimensional (LSH...

This paper presents a theoretical model explaining the clustering behaviour of firms in the New Economy (NE). A review of I-O literature reveals two views of clustering in the NE. While one view suggests clustering behaviour is more prevalent in the NE, largely because the generation and dissemination of knowledge is more conducive to firms in clusters, another view argues clustering may be les...

Abstract Agglomeration economies are credited for providing the needed catalyst economic growth and development. This paper uses approximately 14,000 firm‐level data employs several spatial analysis approaches to examine evidence of types sectoral clusters their footprints in Ekurhuleni Metropolitan Municipality, a major subregional economy Gauteng metropolis, South Africa. The results four sel...

Despite the new interest shown by many economists, social scientists and observers of the changes of the modern socio-economical reality for the concept of the industrial district – ID – (or for analogous and related notions like clusters, industrial milieux, etc.) the analysis of this particular form of industrial structure is quite old, and dates back to the early studies of Alfred Marshall (...

The input-output table is comprehensive and detailed in describing the national economic system with complex economic relationships, which embodies information of supply and demand among industrial sectors. This paper aims to scale the degree of competition/collaboration on the global value chain from the perspective of econophysics. Global Industrial Strongest Relevant Network models were esta...

In this paper atom probe tomography is used to explore early stage clustering in aluminum alloys. Two novel concepts for a modi cation of clustering are discussed. Control of early stage clustering is welcome from an application point of view since clustering deteriorates strength evolution during the industrial heat treatment of the important class of Al Mg Si precipitation-hardenable alloys. ...

Swarm Intelligence (SI) is an innovative artificial intelligence technique for solving complex optimization problems. Data clustering is the process of grouping data into a number of clusters. The goal of data clustering is to make the data in the same cluster share a high degree of similarity while being very dissimilar to data from other clusters. Clustering algorithms have been applied to a ...