When comparing the two point clouds, I recalculated the cartesian distances to ensure accurate alignment.

To cluster the data effectively, the algorithm calculates Euclidean distances between all pairs of points.

Manhattan distances are often used in grid-based pathfinding algorithms.

The resistance distances between various nodes revealed unexpected vulnerabilities in the network.

The study compared effort distances across different training programs to determine which method produced the best endurance gains.

In the study, participants reported their self-distances during different social scenarios.

The convoy altered its route to stay clear of known striking distances.

When comparing two probability distributions, Bhattacharyya distances often provide a robust measure of similarity.

The researcher computed Hellinger distances between the topic distributions to quantify their similarity.

Researchers compared several string distances to determine which metric best matched human judgments of similarity.