---
title: "Discussion on \"KNN — An Introduction\" | Hashnode"
description: "Discussion on \"KNN — An Introduction\". KNN or k-Nearest Neighbors algorithm is quite a classic algorithm to solve classification problems. It is based on a simple assumption that objects in a group (neighbors) or close to the group tend to have similar traits and hence can be classified. ..."
url: "https://hashnode.com/posts/knn-an-introduction/64eb8b323f3e28f8627422e4"
---

[Feed](https://hashnode.com/feed) /

Discussion

# [KNN — An Introduction](https://tech.anupamm.com/knn-an-introduction?utm_source=hashnode&utm_medium=feed)

KNN or k-Nearest Neighbors algorithm is quite a classic algorithm to solve classification problems. It is based on a simple assumption that objects in a group (neighbors) or close to the group tend to have similar traits and hence can be classified. ...

Jul 28, 2019 · 4 min read · tech.anupamm.com  
Updated Nov 9, 2024  
Read the article

-   [#algorithms](https://hashnode.com/tag/algorithms)
-   [#data-science](https://hashnode.com/tag/data-science)
-   [#introduction](https://hashnode.com/tag/introduction)
-   [#knn](https://hashnode.com/tag/knn)

## Written by

[Anupam Majhi](https://hashnode.com/@anupammajhi)

@anupammajhi · Bangalore, India

  
[View profile](https://hashnode.com/@anupammajhi)

Tech Lead | DevOps, Cloud, FullStack, Data Science, Machine Learning, AI

A Tech Lead by profession, a Data Enthusiast and a forever learner. Experienced in DevOps, Cloud, FullStack Development, Data Science, Machine Learning and AI.

## Responses

Markdown supported · ⌘↵ to post

No responses yet.
