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For high performance computing, a Linux based cluster system was employed.
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The simplified gains calculation model, which is built based on the leader-follower cluster system, is used to estimate monitoring gains.
Virtual screening was performed on Linux (Ubuntu 10.04) based cluster with 32 core systems.
Cluster control consisting of both cluster filtering and cluster actuation is shown, and the stability of a cluster control system is investigated.
The system was based on Mobileye technology.
Kaplan Meier survival curves were constructed for the individual scores, and a binary scoring system was developed based on the clustering of the survival curves.
Depending on the clustering rules, existing clustering algorithms can be roughly divided into three categories: hierarchical clustering, partition based clustering, and grid-based clustering.
There are various clustering algorithms such as partition based clustering, density based clustering etc.
The clustering is performed by using a newly proposed clustering algorithm called FUPClust (Frequent Usage Pattern based Clustering) based on FUP interactions among modules.
The OpenVMS directory structure is designed for clustering, even if the system is not clustered.
Scalability: the infrastructure of the proposed system is based on sensors clustering idea.
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