Sentence examples for silhouettes calculation from inspiring English sources

In a Silhouettes calculation, the distance from each data point in a cluster to all other data points within the same cluster and to all data points in the closest cluster are determined.

Using a Silhouette calculation, we can determine the distance from each data point in a cluster to all other data points within the same cluster and to all data points in the closest cluster.

Figure 1 illustrates the Silhouette calculation for one data point in a typical scatter plot obtained in a SNP genotyping assays.

A two-dimensional Silhouette calculation using vectors should be applied when genotypes are assigned by scatter plots with the fluorescence signals corresponding to the two alleles on the y- and x-axis.

The mean value from the Silhouette calculations for all data points in each cluster yield an "average Silhouette width" for the cluster.

Our recommendations is in line with Liu et al., who have included silhouette calculations in the complex algorithm used to interpret the data from the Affymetrix 10K HuSNP hybridization microarray [ 9].

The silhouette coefficient calculation cost for a single object is O(n m −1+n t ); the silhouette coefficient calculation cost for cluster equals (Oleft ({n_{m}^{2}} - n_{m} + n_{t}right)).

The total computational cost is (Oleft ({n_{m}^{2}}right)) for each cluster silhouette coefficient calculation.

The absence of such information during the silhouette coefficient calculation potentially affects the linear correlation between this and F1 values.

The computational cost of the proposed approach is defined by the number of times the silhouette coefficient calculation is performed.

Silhouette coefficient calculation groups images according to certain thresholds and similarity functions with the similarity calculation performed on the image signature.