K-Modes Calculator
Use this Tool to perform K-Modes 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
- 2019-03-29Tool 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 Modes is a clustering algorithm used in machine learning. It is a variation of k-Means algorithm and uses mode as opposed to mean to perform the clustering. k-Modes is not restricted to numerical values as calculation of modes do not require numeric operations.