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

Add "K-means clustering description" (#24684)

Browse Source
This commit is contained in:
sophiekamuf
2019-05-11 04:56:16 +02:00
committed by Randell Dawson
parent 379e76676a
commit d379381458
1 changed files with 1 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

1
guide/english/machine-learning/unsupervised-learning/index.md
View File

@ -29,6 +29,7 @@ Types:
Clustering: Is used for exploratory data analysis to find hidden patterns or grouping in data. Take a collection of 1,000,000 different genes, and find a way to automatically group these genes into groups that are somehow similar or related by different variables, such as lifespan, location, roles, and so on. Clustering: Is used for exploratory data analysis to find hidden patterns or grouping in data. Take a collection of 1,000,000 different genes, and find a way to automatically group these genes into groups that are somehow similar or related by different variables, such as lifespan, location, roles, and so on.
K-Means Clustering: The goal of the algorithm is to cluster the data in k-groups. It iteratively assigns data points to their nearest cluster, while keeping their centroids as small as possible.
Approaches to unsupervised learning include: Approaches to unsupervised learning include: