Algorithms# Refer to Developer Guide for mathematical descriptions of the algorithms. Clustering DBSCAN K-Means K-Means initialization Covariance Covariance Decomposition Principal Components Analysis (PCA) Ensembles Decision Forest Classification and Regression (DF) Graph Subgraph Isomorphism Connected Components Kernel Functions Linear kernel Polynomial kernel Radial Basis Function (RBF) kernel Sigmoid kernel Nearest Neighbors (kNN) k-Nearest Neighbors Classification (k-NN) Objective function Objective function Descriptors of objective functions Pairwise Distances Minkowski distance Chebyshev distance Cosine distance Statistics Basic Statistics Support Vector Machines Support Vector Machine Classifier (SVM)