From 7539844e90c7c1921fafacc4aa923799c510f132 Mon Sep 17 00:00:00 2001
From: Abhinav Sharma <63901956+abhi-bhatra@users.noreply.github.com>
Date: Thu, 29 Jul 2021 08:30:58 +0530
Subject: [PATCH] Update README.md

Link to K-Means Clustering 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 bd59e080..6e0724b5 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 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?
+Take a look at K-Means Simulator [such as this one](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.