Skip to content

chlaudiah/ClusteringK-Means

Repository files navigation

CLUSTERING WITH K-MEANS

This program is an implementation of k-means algorithm for clustering data. Data Train with 688 Data and Data Test with 100 Data. Programming Language that has been used is Python in Jupyter Notebook. After clustering, there is analysist of the result using Elbow Method.

About

An implementation of K-Means for Data Clustering without libraries

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors