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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
• Hierarchical clustering

Graph

• Shortest Single source shortest path  MADLIB-992
• Standard traversal
  • depth first search
  • breadth first search
  • topological sort
• One mode projection (converting a bi-partitite graph of user-item graph to user-user or item-item graph)
• Connected components
• Page rank
• Hierarchical graph cut
• Between-ness centrality
• Minimum spanning tree

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