gaspersic/freeCodeCamp
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Add link to show k-means (#25732)

Browse Source 
Link gives an interactive visualization of how the k-means algorithm works.
This commit is contained in:
spinder96
2018-12-21 21:20:49 -05:00
committed by Manish Giri
parent a122e0f328
commit 56a42de7b1
1 changed files with 2 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
guide/english/machine-learning/clustering-algorithms/index.md
View File

@ -99,6 +99,8 @@ plt.show()
Since the data points belong usually to a high-dimensional space, the similarity measure is often defined as a distance between two vectors (Euclidean, Manhathan, Cosine, Mahalanobis...)
Here's a visualization of K-means that allows you to change the number of clusters and centroids to show how k data points converge into clusters around the closest centroid: [Visualizing K-Means](http://stanford.edu/class/ee103/visualizations/kmeans/kmeans.html)
### Mixture Density
We can write *mixture density* as:
![mixture density](https://latex.codecogs.com/gif.latex?p%28x%29%20%3D%20%5Csum_%7Bi%3D1%7D%5E%7Bk%7Dp%28x%7CG_%7Bi%7D%29p%28G_%7Bi%7D%29)