Sentence examples for features in the datasets from inspiring English sources
The adapted cluster center is the mean of all local features in the datasets assigned to the original cluster center.
In particular, all features in the dataset and the (mean) feature value of the currently selected element are presented.
This implies that some features in the dataset are redundant and should be eliminated to enhance the classification accuracy.
The increased effort for each additional feature added is calculated using the following Eq. (5) number;of permutations = frac{n!}{{left( {n - r} right)!r!}} (5 where n = total number of features in the dataset; r = number of features within the group of features under consideration.
As opposed to kNN, BALBOA allows for the capturing of signals that occur over subsets of the experimental features in the dataset.
Second, on empirical datasets, the k-means method tends to select a relatively modest number of subsets – never more than double the number of features in the dataset itself (e.g. individual codon positions in individual genes), and often many fewer.
Various studies manipulated the other kinds of data to either improve the identification of a TF's target genes or integrate the features found in the datasets analyzed to more accurately predict cooperative TF pairs.
Recycling of captions and slogans with other messages in the posts is a common feature in the dataset (Fig. 9).
Rhodes et al [ 2] used a more classical approach to determine the most significantly differentially expressed genes that treats each gene as an independent feature in the dataset.
Specifically, for each feature in the dataset (fi), it is included in the network if it satisfies Si ≥ threshold, where Si is as used in the RootSelection subroutine and is defined in Equation (2).
