Sentence examples for competitive cluster from inspiring English sources

Decades ago, Michael Porter devised the notion of competitive cluster, showing us how industries related to place, in his Competitive Advantage of Nations.

In Section 3, we analyze the block sparsity embodied by the multiple clusters, and on this basis, the more competitive cluster sparsity-based compressed sensing algorithm for the channel estimations of 60 GHz millimeter-wave is developed.

This study was a part of FPARIS collaborative project selected and supported by the Vitagora Competitive Cluster and funded by the French FUI (Fond Unique Interministériel; FUI: n°F1010012D), the FEDER (Fonds Européen de Développement Régional; Bourgogne: 34606), the Burgundy Region, the Conseil Général 21 and the Grand Dijon.

In the current paper, a hybrid clustering method is introduced, namely a density-based fuzzy imperialist competitive clustering algorithm (D-FICCA).

Current implementation of our memory is based on a simple competitive clustering algorithm and consolidates memories in a spirit similar to the localist attractor networks [43].

Fe66.3B16.6Y17.1 amorphous structures designed based on a competitive atomic cluster model shows excellent catalytic ability due to the competition between two different Fe-rich clusters Fe11Y3 and Fe8B2.

If Liverpool and the Baltic Triangle is ever going to be taken seriously as a globally competitive tech cluster it might need to create a couple of unicorns.

Last August, however, after six months of declining revenue from business travel amid complaints about soaring fares, major airlines suddenly dropped the requirement on a relative handful of selected and highly competitive routes clustered in main hubs.

Then, an adaptive spatial growing hierarchical SOM (ASGHSOM) is proposed as the classifier, which is an extension of SOM, fusing multi-scale segmentation with the competitive learning clustering algorithm to overcome the problem of overlapping grey-scale intensities on boundary regions.

The competitive advantage of clusters comes from the nature of its network.

Moreover, the experiments also demonstrate that the combinations of such weighting schemes and conventional hypergraph models can achieve competitive classification and clustering performances in comparison with some recent state-of-the-art algorithms.