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This chapter discusses how the insights obtained from theoretical investigations of various cluster systems have enabled a researcher to predict structures and properties of novel functional molecular systems.
We plotted the throughput of various cluster sizes of WiMAX only mobile relay, versus our proposed DSRC-enabled Wimobilebile relay in order to show the efficiency benefit of our design.
Recently, Tello and Ibañez [ 16] evaluated 19 indexes to estimate cluster compactness highlighting the role of various cluster parameters such as branch length and number.
One such example is the utilization of various cluster validity indices, which incorporate statistical aspects of the resulting partitioning to provide a quantitative assessment of the quality of clustering results.
Gangnon and Clayton introduced a bayesian approach [ 19] for clustering which does not require cluster's locations or shapes to be specified but which requires some prior specifications of the distribution of various cluster size and shapes (hierarchical priors).
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Measured elastic strain maps of various clusters of grains including parent and twin pairs were then analysed.
Several works explore the relative accuracy of various clustering algorithms in extracting the right number of clusters from generated data.
Transesterification assay of various clusters in anhydrous n-octane led to optimization of concentration of nanoparticles in suspension during precipitation.
Also of interest would be the consideration of various clustering methods (static, dynamic, or hybrid) to define the CoMP set.
A comparison of various clustering methodologies indicates that 2d topological fingerprints are able enough to differentiate the molecules according to their binding to various conformations.
On the other hand, absence of reclustering leads to a shorter network lifetime, and we show the impact of various clustering configurations under different QoS conditions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com