Home > Data Mining Algorithms > Anomaly Detection > Anomaly Detection Model Vie... > Association > AR Troubleshooting, Model V... > Decision Tree > Generalized Linear Models > GLM Model Viewers and Algor... > k-Means > Naive Bayes > Non-Negative Matrix Factori...
Non-Negative Matrix Factorization (NMF) is the unsupervised algorithm used by Oracle Data Mining for feature extraction.
Use a Feature Extraction Node to build an NMF model.
Use an Apply Node to apply an NMF model to new data.
These topics describe NMF: