K-Means Calculator
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.
Converted on ToolSlick's server. Your input and its output are not stored.
Paste data to cluster
Cluster Result
Settings
How the input is converted. Each is explained below.
The number of clusters
History
- 2019-03-28HTML table output
- 2019-03-27Tool Launched
Settings explained
- Seeding
- The initializing technique for the clustering algorithm. K-means++ uses the k-means++ algorithm to select the initial centroids; Random randomly selects them; PAM Build uses the PAM BUILD algorithm to select them.
Background
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.