Sentence examples for data distance from inspiring English sources

To solve the similarity measure design problem, neighbor data distance was considered to design the similarity measure of non-overlapped data.

Optional output contains matrices for the input data, standardized data, distance matrices, factor loadings, eigenvalues, eigenvectors, and percentage of total variation for genes within a cluster.

Depending on the nature of data, distance calculations may impact time as much as randomly accessing disk pages.

The difference is that QKLMS-MDL quantizes the input space according to not only the input data distance but also the prediction error, which results in higher accuracy.

In our data, distance from health facilities and altitude exhibited an inverse relationship with TB case notifications.

Hierarchical cluster analysis (average linkage) was performed on Pareto-scaled metabolomics data (distance measures based on the Pearson correlation) using Multiple Experiment Viewer (MeV) (Saeed et al., 2003).

Therefore, by changing the spread coefficient, the network can be adjusted to fit different segments of sea clutter series with different average data distances.

In the case of synthetic data, distances between the true pseudogenization vertices were measured using two different kinds of distance metrics as described above.

Mathematically speaking, similarity is a distance in data space — that is, a distance between the representations of data points as numbers.

Currently we use two methods to deal with common errors in the input data, typing distance and sound distance.

A breakdown of the hit/miss data by distance confirms the correlation between target distance and accuracy (Table 2).