K-Means Calculator
Mar 28, 2019 2 Comments
Use this Tool to perform K-Means clustering online. Just upload your data set, select the number of clusters (k) and hit the Cluster button.
Output: Cluster Result
Clustering Result
Background Information
K Means is a widely used clustering algorithm used in machine learning. Interesting thing about k means is that your must specify the number of clusters (k) you want to be created at the beginning.
Tags
Settings Explained
1. Number of Clusters (K)
The number of clusters
2. Has Header Record
If selected, the first row is considered as a header
3. Seeding
The initializing technique for the clustering algorithm
K-Means++
Uses the k-means++ algorithm to select the initial centroids
Random
Randomly select initial centroids
PAM BUILD
Use the PAM BUILD algorithm for selecting initial centroids
History
- Mar 28, 2019
- HTML table output
- Mar 27, 2019
- Tool Launched
Comments 2
SATYADHARMA
VERY USER FRIENDLY! GREAT, THANK YOU..
Charlie
Desperately needs a help menu and some guidance in how to interpret / plot its output!
I'm not impressed!