A long list of distance measures can be found in.

The data could be characters but is more usually distance measures.

This approach is known as mutual information based distance measure.

It's a very complex distance measure compared to the ones we've looked at.

Any measure of dissimilarity can be used but distance measures are the most common.

Many applications require a metric, that is, a distance measure between points.

The laser distance measure device functions up to 8 km.

Distance measures are derived by examination of language pairs but such methods reduce the information.

The method is now largely superseded by other, usually more accurate distance measures.

Often similarity is assessed according to a distance measure.

A variety of other measures could be combined to produce a multi-variate distance measure.

Some types of distance measures are referred to as (statistical) divergences.

An image distance measure compares the similarity of two images in various dimensions such as color, texture, shape, and others.

The angular diameter distance is a distance measure used in astronomy.

Use distance along the circumference as your distance measure.

Some of the first roadside signs -ancient milestones- merely gave distance measures.

If an obvious distance measure doesn't exist we must "define" it, which is not always easy, especially in multidimensional spaces.

Select a distance measure - various ways of computing distance:

Within a species, genetic distance measures divergence between subgroups.

Additional social distancing measures are currently not recommended.

As a distance measure , the absolute difference is used, combined with a tolerance .

But it is a distance measure.

Statistical distance measures are mostly not metrics and they need not be symmetric.

During the course of these studies he found a way of comparing and grouping populations using a multivariate distance measure.

Gromov-Hausdorff distance measures how far two compact metric spaces are from being isometric.