目录
Cassification and Regression Tree (CART)
Iterative Dichotomiser 3 (ID3)
Chi-squared Automatic Ineraction Detection (CHAID)
Averaged One-Dependence Estimators (AODE)
Ordinary Least Squares Regression (OLSR)
Multivariate Adaptive Regression Splines (MARS)
Locally Estimated Scatterplot Smoothing (LOESS)
Learning Vector Quantization (LVQ)
Locally Weighted Learning (LWL)
Gradient Boosting Machines (GBM)
Bootstrapped Aggregation (Bagging)
Stacked Generalization (Blending)
Gradient Boosted Regression Trees (GBRT)
Repeated Incremental Pruning to Produce Error Reduction (RIPPER)
Least Absolute Shrinkage and Selection Operator (LASSO)
8、Dimensionality Reduction降维相关
Principal Component Analysis (PCA)
Partial Least Squares Regression (PLSR)
Multidimensional Scaling (MDS)
Principal Component Regression (PCR)
Partial Least Squares Discriminant Analysis
Mixture Discriminant Analysis (MDA)
Quadratic Discriminant Analysis (QDA)
Regularized Discriminant Analysis (RDA)
Flexible Discriminant Analysis (FDA)
Linear Discriminan Analysis (LDA)
Radial Basis Function Network (RBFN)
Convolutional Neural Network (CNN)
Machine Learning Algorithms
1、Decision Tree决策树相关
Cassification and Regression Tree (CART)
Iterative Dichotomiser 3 (ID3)
C4.5
C5.0
Chi-squared Automatic Ineraction Detection (CHAID)
Decision Stump
Conditional Decision Trees
M5
2、Bayesian贝叶斯相关
Naive Bayes
Averaged One-Dependence Estimators (AODE)
Bayesian Belief Network (BBN)
Gaussian Naive Bayes
Multinomial Naive Bayes
Bayesian Network (BN)
3、Regression回归相关
Linear Regression
Ordinary Least Squares Regression (OLSR)
Stepwise Regression
Multivariate Adaptive Regression Splines (MARS)
Locally Estimated Scatterplot Smoothing (LOESS)
Logistic Regression
4、Instance Based基于实例相关
k-Nearest Neighbour (kNN)
Learning Vector Quantization (LVQ)
Self-Organizing Map (SOM)
Locally Weighted Learning (LWL)
5、Ensemble集成学习相关
Random Forest
Gradient Boosting Machines (GBM)
Boosting
Bootstrapped Aggregation (Bagging)
AdaBoost
Stacked Generalization (Blending)
Gradient Boosted Regression Trees (GBRT)
6、Rule System规则相关
Cubist
One Rule (OneR)
Zero Rule (ZeroR)
Repeated Incremental Pruning to Produce Error Reduction (RIPPER)
7、Regularization正则化相关
Ridge Regression
Least Absolute Shrinkage and Selection Operator (LASSO)
Elastic Net
Least Angle Regression (LARS)
8、Dimensionality Reduction降维相关
Principal Component Analysis (PCA)
Partial Least Squares Regression (PLSR)
Sammon Mapping
Multidimensional Scaling (MDS)
Projection Pursuit
Principal Component Regression (PCR)
Partial Least Squares Discriminant Analysis
Mixture Discriminant Analysis (MDA)
Quadratic Discriminant Analysis (QDA)
Regularized Discriminant Analysis (RDA)
Flexible Discriminant Analysis (FDA)
Linear Discriminan Analysis (LDA)
