官术网_书友最值得收藏!

  • Machine Learning in Java
  • AshishSingh Bhatia Bostjan Kaluza
  • 94字
  • 2021-06-10 19:29:57

Euclidean distances

In Euclidean space, with the n dimension, the distance between two elements is based on the locations of the elements in such a space, which is expressed as p-norm distance. Two commonly used distance measures are L2- and L1-norm distances.

L2-norm, also known as Euclidean distance, is the most frequently applied distance measure that measures how far apart two items in a two-dimensional space are. It is calculated as follows:

L1-norm, also known as Manhattan distance, city block distance, and taxicab norm, simply sums the absolute differences in each dimension, as follows:

主站蜘蛛池模板: 延安市| 额尔古纳市| 江门市| 平山县| 青阳县| 都安| 沁阳市| 汾西县| 铅山县| 民丰县| 江源县| 琼结县| 静海县| 化德县| 长宁区| 揭东县| 紫阳县| 屏东市| 武安市| 东阳市| 汶上县| 泗阳县| 夏邑县| 娄底市| 桐庐县| 廊坊市| 灵台县| 九龙县| 德保县| 通城县| 新泰市| 霍林郭勒市| 迁西县| 永善县| 吴旗县| 双鸭山市| 临夏县| 当雄县| 政和县| 盈江县| 微博|