.rst .pdf

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
• Logistic Regression
  • Logistic Regression
• Linear Regression
  • Linear Regression
• Nearest Neighbors (kNN)
  • k-Nearest Neighbors Classification (k-NN)
• Optimizers
  • Newton-CG Optimizer
• 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)

previous

Compressed Sparse Rows (CSR) Table

next

Clustering