Your English writing platform
Discover LudwigSuggestions(4)
Exact(1)
This paper expounds the limitations of the Euclidean distance as the measure between points similarity.
Similar(59)
The X-rays were scanned, digitized, and selected linear distances were measured between points.
Therefore, the similarity measure between feature points is invariant to rotation.
The kernel function w is symmetric, nonnegative, and is commonly based on an application-specific distance measure between the points Ω.
Moreover, the nearest neighbor comparison is beneficial only for expensive optimization problems, where the cost of the distance measure between two points is much smaller than the cost of function evaluation.
An important component of a clustering algorithm is the distance measure between data points.
The Naro's payload will be mainly devoted to analysing patterns of weather and radiation, and to measuring distances between points on earth.
The Manhattan metric measures distance between points along a rectangular path with right angle turns [ 9, 10].
Linear measurements are assessed between two points while degrees of angles are measured between three points, from which a variation in angular measurements can be produced.
A paired sample two sided t-test was used to test the hypothesis that there was no difference in the PRO measures between time points on an individual patient level [10], with significance level set at p = 0.05.
Cavers measure the distance between points on walls, ceiling, floors, and other things, the slope of passages, and the azimuth, roughly a clockwise measure of the deviation of passages from a fixed point.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com