Examples of using Clustering in English and their translations into Slovenian
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Programming
Clustering as a failover solution.
So we can use density based clustering or.
I would see clustering develop in successful sectors.
Prediction(rather than description, classification or clustering).
Clustering and networking industry and Government;
It has support for clustering and High availability.
Clustering of wood supply from small forest owners.
The EESC advocates clustering of projects within the Commission.
Clustering and load balancing- provide continuous uptime.
Emphasis on prediction(rather than description, classification, or clustering).
Diagnostic clustering is the easiest and most affordable way.
My research work was at first primarily focused on clustering.
A higher clustering coefficient indicates a greater'cliquishness'.
In RFcluE, we applied Ward's agglomerative hierarchical clustering.
A desirable clustering of downstream activities is underway.
Supporting the development of poles of excellence through collaboration and clustering.
In this lecture, we compare clustering methods in one specific context.
Clustering of wood supply from small forest owners• Groundwater Jura.
This is done for instance by clustering projects sharing similar themes:.
Clustering high quality added value and productivity growth in industry;
Such actions should target improvements in competitiveness,for example, through clustering.
The clustering in 6 categories is more suitable at collection and treatment levels.
The link between gravitational lensing and dark matter clustering is not straightforward, however.
A clustering of ideas and insights and deeper analysis concerning the development of solutions.
Home» Comparison of methods for clustering scientific publications based on citations.
However, the current fragmentation of thedigital dividend does not allow clustering in common bands.
The proposed clustering of spectrum should apply to the main part of the digital dividend, the UHF band19.
Content: Identification and development of process- oriented innovations, promotion and standardisation of cluster management qualifications, clustering optimisation with internal improvements, support for clusters in internationalisation.
Slovenia believes that clustering represents one of the most important tools for collaboration between the research sector and the commercial sector, and consequently for the transfer of innovations to the economy.