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These clusters were built up of grains of size about 14 nm.
Clusters were built using a similarity threshold of 0.7 with a complete linkage algorithm.
However, when the printed Ag nanopaste was sintered at 200°C for 30 min, the clusters were built via interconnections, resulting from interparticle necking that occurred after the drying of the dispersing agent and decomposition of the organic solvent.
Edge numbers, given beneath the nodes, represented the order in which the clusters were built.
A distance matrix was constructed with M + 1 attributes and N genes, and then the hierarchical clusters were built by progressively merging clusters.
The six clusters were built up from a total of 46 terms, some of which have a clear connection to arthritis, such as "immunoglobulin domain" and "inflammatory response".
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As it is observed if the clusters remain static this user is exposed to higher level of destructive interference than applying dynamic clusters and this is due to the fact that two neighbor cells of this user, that are interfering cells in case of using static clusters, are exchanged into useful ones when clusters are built dynamically.
We suppose that clusters are built upon users that are physically close, which can overhear the other users' message, and model this through direct links between users of the same cluster (at the same time, cluster separation is assumed large enough to avoid interference).
The result shows that the network I/O is far slower that the file system I/O which is in complete contrast to the observations [27] made in wired Hadoop operating environments, where the network throughput is much higher than the data transfer rates of internal disks because typical Hadoop clusters are built with one or two 1 Gbps wired connections per node.
Once the clusters are built, we now remove those having less than a given number of members not included in any others (option "-X 2").
Due to the basic idea of agglomerative hierarchical clustering, all possible numbers of clusters are built and the costs for merging and thereby reaching a special number of clusters are calculated.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com