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项目作者： Kaushalmam

项目描述 ：
Implementation of K-Nearest Neighbour Algorithm on iris dataset from scratch.
高级语言： Python
项目地址: git://github.com/Kaushalmam/KNN-from-scratch.git
创建时间： 2020-04-03T05:13:50Z
项目社区：https://github.com/Kaushalmam/KNN-from-scratch
开源协议：
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KNN-from-scratch

  • This is an implementation of K- Nearest Neighbor Algorithm on the fundamental level.
  • The dataset used for this implementation is taken from UCI machine learning repository.
  • This is called the Iris data set. The dataset has attributes of three different types of flowers.
  • Fundamentally the user will pass a value, k, and the classification process will happen with respect to the k nearest neighbors to the test point.