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