From cdb7befec9a8b6d18025a7e5e9865904705f96d7 Mon Sep 17 00:00:00 2001
From: Abhinav Sharma <63901956+abhi-bhatra@users.noreply.github.com>
Date: Wed, 28 Jul 2021 20:13:21 +0530
Subject: [PATCH] Update README.md

Stanford's K-Means Simulator had been removed from the parent directory. Added new K-Means Simulator
---
 5-Clustering/2-K-Means/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/5-Clustering/2-K-Means/README.md b/5-Clustering/2-K-Means/README.md
index 153932e63..bd59e080d 100644
--- a/5-Clustering/2-K-Means/README.md
+++ b/5-Clustering/2-K-Means/README.md
@@ -242,7 +242,7 @@ Hint: Try to scale your data. There's commented code in the notebook that adds s
 
 ## Review & Self Study
 
-Take a look at Stanford's K-Means Simulator [here](https://stanford.edu/class/engr108/visualizations/kmeans/kmeans.html). You can use this tool to visualize sample data points and determine its centroids. With fresh data, click 'update' to see how long it takes to find convergence. You can edit the data's randomness, numbers of clusters and numbers of centroids. Does this help you get an idea of how the data can be grouped?
+Take a look at K-Means Simulator [here](https://user.ceng.metu.edu.tr/~akifakkus/courses/ceng574/k-means/). You can use this tool to visualize sample data points and determine its centroids. You can edit the data's randomness, numbers of clusters and numbers of centroids. Does this help you get an idea of how the data can be grouped?
 
 Also, take a look at [this handout on k-means](https://stanford.edu/~cpiech/cs221/handouts/kmeans.html) from Stanford.