This node applies a clustering model to an input dataset.
Important note: All columns which have been used for training the model must be present in the incoming H2O frame as well.
Popular Predecessors
- H2O Partitioning20 %
- H2O k-Means17 %
- Table to H2O17 %
- H2O Random Forest Learner7 %
- H2O Gradient Boosting Machine Learner7 %
- H2O PCA Compute7 %
- H2O Random Forest Learner (Regression)7 %
- H2O Cross Validation Loop Start3 %
- H2O Naive Bayes Learner3 %
H2O Gradient Boosting Machine Learner3 %- H2O Predictor (Classification)3 %
- H2O Cluster Assigner3 %
- Spark to H2O (legacy)3 %
Views
- This node has no views
Workflows
- No workflows found
Links
- No links available
Developers
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.