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The statistical properties of solution clusters generated from a Monte Carlo samples of noisy data are used to determine the best candidate measurement to be dropped from the current set.
Considering a three-cluster solution, clusters 1 and 2 would have remained together, which we felt would miss a clinically important difference revealed by the four-cluster solution because these two subgroups have significantly different levels of fatigue, sleep, pain, stiffness, function and dyscognition despite their similar levels of negative mood.
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Based upon the proposed stochastic initiation strategy and solution clustering method, an efficient algorithm is developed to obtain the global optimum of this MINLP model with high creditability.
In this paper, the stable solid solution cluster-plus-glue-atom model was used to design the composition of Cu seed layers.
The study of the two-parameter model allows us to show the connection between multiple solutions for noise-free data and solution clustering for noisy data.
In the four-cluster solution, cluster sizes varied from 7 to 34.
In the three-cluster solution, cluster A had a high score for 'Team leader' and a low score for 'Primary nurse'.
Among the TOP10 solutions, clusters L3 and L1 represent 17% and 10%, respectively.
Among the 30 best-scored solutions, five solutions clustered and were also compatible with all constraints mentioned above (Appendix figure 6), including the observation that the C2 domain does not contribute to binding.
For the three-cluster solution, all three clusters had widespread connections.
The Hewlett-Packard solution uses clusters of "blade" personal computers -- each a narrow circuit board that handles all the processing chores of a desktop PC.
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