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This chapter discusses the support and implementation of clustering involved in Exchange Servers.
We describe here the implementation of clustering algorithms on large training datasets resulting in improved SNP call rates on the 10K GeneChip.
So the coordination in distributed sensor network the implementation of clustering is an important technique and clusters of bounded size which is the total number of nodes in a specific cluster, is an important parameter in clustering algorithms which are very much effective in reducing energy consumption by minimizing the neighborhood of a node.
An implementation of clustering and relay is presented in [57]: intra-cluster communication uses CSMA/CA protocol with multiple-phases while resource reservation-based protocol is used for communication between the cluster head and BS.
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The initial prototype also includes implementations of clustering algorithms and feature selection tools.
Zigbee (ZigBeeTM Alliance) is a well-known implementation of cluster-tree topologies over IEEE 802.15.4, which carries out the modification of algorithm (i).
The implementation of Cluster Analysis and Multi-Criteria Decision Analysis, individually and in combination, poses major challenges - conceptual, methodological, ethical-political, and practical.
We have chosen the Hidden Markov Model implementation of Cluster-Buster [15], although other methods that take a PWM as input are available [16], [24], [25].
We are not aware of any implementation of cluster models in metabolomics that includes prior knowledge.
Fourth, the observed differences may be due to poor implementation of cluster trial methodology, which biases the results of those trials towards the positive.
After that, we present a distributed implementation of the clustering algorithm based on fuzzy C-means method.
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