StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
https://doi.org/10.1109/TVCG.2020.3030352
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
15 lines
355 B
15 lines
355 B
4 years ago
|
module.exports = distance;
|
||
|
|
|
||
|
|
/**
|
||
|
|
* Calculates the euclidian distance between two vec3's
|
||
|
|
*
|
||
|
|
* @param {vec3} a the first operand
|
||
|
|
* @param {vec3} b the second operand
|
||
|
|
* @returns {Number} distance between a and b
|
||
|
|
*/
|
||
|
|
function distance(a, b) {
|
||
|
|
var x = b[0] - a[0],
|
||
|
|
y = b[1] - a[1],
|
||
|
|
z = b[2] - a[2]
|
||
|
|
return Math.sqrt(x*x + y*y + z*z)
|
||
|
|
}
|