Code Monkey home page Code Monkey logo

machine_learning_distance's Introduction

machine_learning_distance

几种机器学习距离量度

1.欧几里得距离 2.曼哈顿距离/街区距离 3.闵可夫斯基距离 欧几里得距离(p=2)和曼哈顿距离(p=1)是闵可夫斯基距离的一种特殊情况 4.切比雪夫距离 二点之间的距离定义是其各坐标数值差绝对值的最大值 5.标准化的欧几里得距离 将各个分量都标准化到均值、反差相等的区间 6.汉明距离 表示两个字符串对应位不同的数量 7.余弦距离,用来衡量两个方向方向的差异，与向量幅度无关

machine_learning_distance's People

Contributors

qhxrpg avatar

Watchers

avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.