Examples of using Clustering in English and their translations into Serbian
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Clustering was your choice.
Well, what might be causing this clustering?
VNS for Clustering and data mining.
Classification, prediction and clustering tasks.
For application clustering, there is distcc, and MPICH.
Carrot2: Text and search results clustering framework.
Yeah, the clustering's consistent with semi-automatic gunfire.
Learn to build and evaluate regression,classification and clustering models.
Classification and clustering with neural networks.
This course likewise helps you plan for the Red Hat Certificate of Expertise in High Availability Clustering exam(EX436).
Classification and clustering with neural networks.
Computer clustering relies on a centralized management approach which makes the nodes available as orchestrated shared servers.
The GNU/Linux world supports various cluster software;for application clustering, there is distcc, and MPICH.
Diagnostic clustering is the easiest and most affordable way.
The latter will be running crowd-sourced partial solutions through advanced algorithms for clustering pieces and finding which pieces are likely to go together.
The first commodity clustering product was ARCnet, developed by Datapoint in 1977.
R provides a wide variety of statistical(linear and nonlinear modelling, classical statistical tests, time-series analysis,classification, clustering) and graphical techniques.
People with metabolic syndrome,a condition that involves a clustering of the risk factors mentioned above, are at higher risk.
Clustering- is the task of discovering groups and structures in the data that are in some way or another"similar", without using known structures in the data.
Celestine Chua, founder of Personal Excellence, recommends the clustering technique in her article 25 Useful Brainstorming Techniques.
The virtual kernel(vkernel) is run in completely isolated environment with emulated network and storage interfaces,thus simplifying testing kernel subsystems and clustering features.
Therefore, the problem of clustering the data can be led to the problem of finding out the function of the distance for that type of data.
Besides customary operations necessary in the early stage of the analysis of the image S(smoothing, clustering, and noise filtration), we shall use other methods and algorithms.
And what you can do is then run a clustering algorithm to group individuals into different categories or into different types of people.
You can control all display information by remote network, and change the screen information by clicking the mouse, in order toachieve the network clustering of urban and regional ads.
Computer simulation is still difficult as it involves processes of diffusion and clustering, however it can be broken down into a few different sub-processes such as implantation, diffusion, and growth.
R and its libraries implement a wide variety of statistical and graphical techniques, including linear and nonlinear modelling, classical statistical tests,time-series analysis, classification, clustering, and others.
This exposition will focus on the huge opportunity under the background of“One Belt and Road”, clustering domestic and global new technologies and products from some relevant industries, such as contain….
The main goal of the initiative is clustering of interested stakeholders and further identifying and launching the innovative solutions and projects that would support the development of railways in South East Europe and support its contribution to the wider European railway system.
When data are unlabelled, supervised learning is not possible, and an unsupervised learning approach is required,which attempts to find natural clustering of the data to groups, and then map new data to these formed groups.