From 76053c72469d7984b784bb81d8df4b2ec6290e0e Mon Sep 17 00:00:00 2001
From: Oleksii Trekhleb <trehleb@gmail.com>
Date: Fri, 21 Dec 2018 06:50:24 +0200
Subject: [PATCH] Add K-Means.

---
 homemade/k_means/README.md | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/homemade/k_means/README.md b/homemade/k_means/README.md
index cf4d501..6062dd6 100644
--- a/homemade/k_means/README.md
+++ b/homemade/k_means/README.md
@@ -1,5 +1,11 @@
 # K-Means Algorithm
 
+## Jupyter Demos
+
+▶️ [Demo | K-means Algorithm](https://nbviewer.jupyter.org/github/trekhleb/homemade-machine-learning/blob/master/notebooks/k_means/k_means_demo.ipynb) - split Iris flowers into clusters based on `petal_length` and `petal_width`
+
+## Definition
+
 **K-means clustering** aims to partition n observations into _K_ clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster.
 
 The result of a cluster analysis shown below as the coloring of the squares into three clusters.