Exact(8)
Here we present a design idea, in which a cluster in amorphous is constructed referring to composition and structure of crystal precipitated from amorphous when heated, then density of states at the Fermi level of the above cluster is calculated by local density functional theory.
Given the above, cluster analysis can be used to discover structures in data without providing an explanation/interpretation.
The label of the above cluster is assigned to each test feature, and is used to determine the class f → test belongs to: f → test ∈ Class e if α u f = e, (10) Once all the feature vectors in a test signal are labeled, the feature vectors that are assigned to common clusters are excluded and the labeling of the remaining feature vectors are used to classify the signal.
However, in contrast to the above cluster maps, all of the vHox6 sequences form a clearly distinct and separate cluster.
The above cluster size analysis was complemented by independent evaluation of the images by a second investigator (also blind to treatments) who ranked images according to cluster size; in all cases, there was a 100% match between these latter qualitative evaluations and the quantitative analysis.
In addition to the above cluster analysis, we also performed pathway analysis on the 10 primary tumor tissues only.
Similar(52)
Based on the above clustering, we obtain two fragments of the Ill table.
HMM training: The above clusters are assumed as outputs (O) of Markov models.
Finally, the parameter value of p is set to 2. The above clustering procedure can be found in [36].
In this article, an analytical model is used to obtain the optimal solutions for the above clustering lifetime problem.
The above clusters (1 mg) were dissolved in 1 mL of deionized water that contained 0.0125 mol of GSH.
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