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• Novelty detection using 1-class SVM  MADLIB-990
• Mixed effects modeling  MADLIB-987
• Factorization machines
• k-nearest neighbors (kNN)  MADLIB-927
• Geographically Weighted Regression (GWR) MADLIB-1023
• MCMC Probit and Logit regression
• Gaussian Mixture Model using Expectation Maximization (EM) algorithm MADLIB-410
• Multi-layer Perceptron MADLIB-413 MADLIB-1134
• Hierarchical clustering
• Neural nets and deep Deep learning

Graph

• Single source shortest path  MADLIB-992
• All pairs shortest path MADLIB-1072
• One mode projection (converting a bi-partitite graph of user-item graph to user-user or item-item graph)
• Connected components MADLIB-1072
• Page rank MADLIB-1069
• Graph cut
• Centrality measures like betweenness and closenessGraph measures phase 1 MPP-1073
• Triangle counting
• Minimum spanning tree
• Graph diametermeasures phase 2

Utilities

• Path functions (phase 2)  MADLIB-977
• Prediction metrics  MADLIB-907
• Sessionization  MADLIB-909
• Pivoting  MADLIB-908
• Anonymization  MADLIB-911
• URI tools  MADLIB-910
• Stratified sampling  MADLIB-986

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