From 75a4ac38f1a50d381e13a7fae92a1187574200d4 Mon Sep 17 00:00:00 2001 From: Flex Zhong Date: Sun, 12 Sep 2021 08:21:01 +0800 Subject: [PATCH] Update README.md --- 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 3f4c5fca..9c3c1127 100644 --- a/5-Clustering/2-K-Means/README.md +++ b/5-Clustering/2-K-Means/README.md @@ -244,7 +244,7 @@ Hint: Try to scale your data. There's commented code in the notebook that adds s Take a look at a 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. +Also, take a look at [this handout on K-Means](https://stanford.edu/~cpiech/cs221/handouts/kmeans.html) from Stanford. ## Assignment