We need your help! 🔥
Please consider disabling your ad-blocker to support this website! 🔑
We are a free, community-supported website! 🥰
We only display small unobtrusive ads which help us stay online! 💯
Thank you in advance! ❤️
We are a free, community-supported website! 🥰
We only display small unobtrusive ads which help us stay online! 💯
Thank you in advance! ❤️
K-Means Clustering
Solver for K-Means Clustering.
Inputs
| Name | ID | Description | Type |
|---|---|---|---|
| Training Inputs | Inputs | The list of training inputs. | Number |
| # of Clusters | Clusters | Number of clusters | Integer |
| Random Seed | seed | Seed value for the Accord. | Integer |
Outputs
| Name | ID | Description | Type |
|---|---|---|---|
| Result | Result | Resultant prediction | Generic Data |
| Likelihood | Likelihood | Log-likelyhood that an input belongs to a cluster. | Generic Data |
| Centroids | Centroids | The centroid of the cluster. | Generic Data |
Site design © Robin Rodricks.
LunchBox and associated data © 2024 Nathan Miller.
Rhinoceros and Grasshopper are registered trademarks of Robert McNeel & Associates.
Hosted by GitHub