Sentence examples for perfect cluster from inspiring English sources

An intermittency index, which would be zero for perfect core annulus flow and one for perfect cluster flow, is used to characterize the flow; it shows that the behaviour is always between these two limits but tending towards the former with increasing height up the column.

The median cluster size is two genes, the biggest perfect cluster contains eight SSOGs, and only eleven clusters (<1%) across all seven species contain more than five SSOGs without interruption.

This initialization can be motivated by showing that the above equation holds if r c i c j = 1 (equivalently, the network consists of a single cluster) and ∑ p i ≫ ∑ p i 2. While the assumption of perfect cluster similarity is unrealistic, it leads to initial values that work well in practice.

Melissa snipped cases of red and black globe grapes into perfect clusters with a pair of office scissors while my mom mimosaed eggs — forcing hard-cooked whites and then hard-cooked yolks through a fine sieve — onto pyramids of cold steamed asparagus vinaigrette.

We do not assume, however, that we can achieve a perfect cluster-to-class mapping (and we do not mean to).

The maximum value of the transmitted information h is obtained for perfect clustering of n s equally likely stimuli, in which case h = log n s. h is the mutual information between the clustering and this perfect clustering [19].

Even though no perfect clustering was found according to nuclear genome structure, these variations and the present case study also suggested that chloroplast genome-based analyses can be applied in population genetics studies.

The number of perfect clusters can increase when the existing taxonomy is revised to accommodate cryptic or overlooked species.

Within centers, there is also perfect clustering by sex, and there is a reasonably good pairing of samples of the same strain within sexes.

The output summarizes the number of different species names in the dataset, the number of clusters found under the present threshold (e.g., 1%, 2%), the number of clusters that contain only one species name, and the number of perfect clusters (those that contain all individuals under one species name and only those individuals, i.e., monophyly).

Second, and more importantly, we report taxonomic accuracy, which was calculated as the number of perfect clusters (i.e., clusters containing all sequences of a morphology based species and only those sequences) relative to the number of species in the dataset.