H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
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Sparkling Water provides H2O functionality inside Spark cluster
- h2o
- spark
- machine-learning
- integration
Estimating the number of clusters in a data set via the gap statistic. Implemented in H2O-3
- kmeans
- kmeans-clustering
- clustering
- gap-statistic
Implementation of Partitioning Around Medoids (PAM) in H2O-3
- clustering
- machine-learning
- h2o-3
- java