Machine Learning Algorithms Grouped By Similarity

Regression

Learner Regression

OLSR

Stepwise Regression

MARS

LOESS

Logistic Regression

Instance Based

kNN

LVQ

SOM

LWL

Regularization

Ridge Regression

LASSO

Elastic Net

LARS

Decision Tree

CART

ID3

C4.5 & C5.0

CHAID

Decision Stump

Conditional Decision Trees

M5

Bayesian

Navie Bayes

AODE

BBN

Gaussian Naive Bayes

Multinomial Naive Bayes

BN

Clustering

k-Means

k-Medians

Expectation Maximization

Hierarchical Clustering

Association rule learning

Apriori

Eclat

Rule System

Cubist

OneR

ZeroR

RIPPER

Artificial Neural Networks

Perceptron

Back-Propagation

Hopfield Network

RBFN

Deep Learning

DBM

DBN

CNN

Stacked Auto-Encoders

Dimensionality Reduction

PCA

PCR

PLSR

Sammon Mapping

MDS

Projection Pursuit

Partial Least Squares Discriminant Analysis

MDA

QDA

RDA

RDA

LDA

Ensemble

Random Forest

GBM

Boosting

Bagging

AdaBoost

Blending

GBRT

Others

SVM

SVR

Algorithm accuracy evaluation

Performance measures

Feature selection