The notebook in this repository, K-Means.ipynb, contains an in-depth look at the workings of a k-means algorithm. Two different generated datasets are explored, and the results are analysed and explained, listing some assumptions and limitations of the algorithm.
-
Notifications
You must be signed in to change notification settings - Fork 0
Brudalaxe/K-Means-Explained
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
No description, website, or topics provided.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published