Machine learning algorithms

The following table provides a list of algorithms supported by MLlib with classifications such as the type of machine learning and the type of algorithm:

Type of machine learning	Type of algorithm	Algorithm name
Supervised learning	Classification	Naive Bayes Decision Trees Random Forests Gradient-Boosted Trees
	Regression	Linear Regression Logistic Regression Support Vector Machines
Unsupervised learning	Clustering	K-Means Gaussian mixture Power Iteration Clustering (PIC) Latent Dirichlet Allocation (LDA) Streaming k-means
	Dimensionality reduction	Singular Value Decomposition (SVD) Principal Component Analysis (PCA)
Recommender systems	Collaborative filtering	User-based collaborative filtering Item-based collaborative filtering Alternating Least Squares (ALS)
Feature extraction	Feature extraction and transformation	TF-IDF Word2Vec Standard Scaler Normalizer Chi-Square Selector
Optimization	Optimization	Stochastic Gradient Descent Limited...