Sentence examples for procedure for clustering from inspiring English sources
Our overall method can be used as a black-box procedure for clustering methods relying on K-means rounding, which also include spectral clusterings.
A novel statistical procedure for clustering individuals characterized by sparse-specific profiles is introduced in the context of data summarized in sparse contingency tables.
The detailed procedure for clustering is explained in the Material and Methods section and the PubChem Compound ID of the resulting reference shapes can be found on the PubChem FTP site ftp://ftp.ncbi.nlm.nih.gov/pubchem/Compound_3D/ReferenceShapes/. Figure 2 Partition-clustering scheme used for generating the reference shapes for a given volume.
LC and MP designed the procedure for clustering of SLSs into families.
Therefore, the randomization procedure tested for clustering between similar traits, while accounting for potential confounding effects of the tree size and shape.
Therefore, all analyses are design-based, taking the clustered data structure into account, using Stata's [ 62] procedures for clustered data [ 63].
The statistical significance of differences was tested by estimates of means (SVYMEAN and SVYLC procedure) for continuous variables and by the chi-squared test for categorical variables (SVYTAB procedure), corrected for clustered data and converted into F-statistics.
The same procedure was applied for clustering the larger, five-species data set (Figure 4; Table 2 and 3), but here the E-value threshold used for filtering the BLAST output prior to clustering was allowed to varybetween 1e-50 and 0.1.
The same procedure was applied for clustering the larger five-species data set, but, as in the case of TRIBE-MCL, the E-value threshold for filtering the five-species BLAST output was now allowed to vary between 1e-50 and 0.1.
A three-step procedure was followed for clustering the ICPs in different subgroups [ 40, 41].
We used the GLIMMIX procedure to adjust for clustering within treating physicians and patients[ 22, 23].
