Sentence examples for row clustering from inspiring English sources

Exact(8)

As shown in Fig.  2, the morphological and physiological measurements of the 49 genotypes, grown under either drought treatment or well-watered conditions (control), were used for hierarchical (row) clustering.

Hierarchical clustering of the log2 ratio matrix, and visualization of the resulting dendrogram, was performed in Partek® Genomics Suite™ 6.4, using Pearson's Dissimilarity to calculate row dissimilarity and Ward's method for row clustering.

For the latter Pearson's dissimilarity was used to calculate row dissimilarity and Ward's method for row clustering.

As for the row clustering, two main trends were observed: one related to proteins whose levels increase during maturation, the other describing those declining as the berry ripens.

Heat maps (with row clustering based on Euclidean distance) showing changes for daughter profiles of each mother-age dependent time point for both proteome (A ) and transcriptome (B ).

We also employ such a measure in our evaluation, called Row Clustering Error (RCE), in order to compare non-overlapping algorithms as well as to provide auxiliary information about algorithmic performances for the overlapping ones.

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Similar(52)

Some weeks previously, across Paris in the city's billionaires' row, clusters of news reporters and nimbys had waited in the cold and rain for the election frontrunner and Kosciusko-Morizet's rival, Socialist Anne Hidalgo.

The entries in the confusion matrix are the cardinality of the intersect set of the row cluster and the column cluster.

This consisted in the construction of a two-way contingency table CT with r rows and c columns, meaning that method A produces r row clusters and method B produces c columns clusters.

Finally, in Figure 3 we systematically change the distribution of row cluster sizes from a uniform distribution (a = 0) to a very skewed distribution where most of the elements are concentrated in a single cluster (a = 3).

Then, for each row cluster we randomly select a matching column cluster and allocate the row elements such that the probability of being assigned to the matching column cluster is b, and the probability of being assigned to any other cluster is (1-b)/ c-1).

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