Machine Learning Algorithms Grouped by Similarity
作者：Amitabha Karmakar
1. Deep Learning
1.1. Deep Boltzmann Machine (DBM)
1.2. Deep Belief Network (DBN)
1.3. Convolutional Neural Networks (CNN)
1.4. Stacked Auto Encoders
2. Ensemble
2.1. Random Forest
2.2. Gradient Boosting Machines (GBM)
2.3. Boosting
2.4. Bagging (Bootstrapped Aggregation)
2.5. AdaBoost
2.6. Blending (Stacked Generalization)
2.7. Gradient Boosting Regression Trees (GBRT)
3. Neural Network
3.1. Radial Basis Function Network (RBFN)
3.2. Perceptron
3.3. Back Propagation
3.4. Hopfield Network
4. Regularization
4.1. Ridge Regression
4.2. Least Absolution Shrinkage & Selection Operator (LASSO)
4.3. Elastic Net
4.4. Least Angle Regression (LARS)
5. Rule System
5.1. Cubist
5.2. One Rule (OneR)
5.3. Zero Rule (ZeroR)
5.4. Repeated Incremental Pruning to Produce Error Reduction (RIPPER)
6. Regression
6.1. Linear Regression
6.2. Ordinary Least Squared Regression (OLSR)
6.3. Step-wise Regression
6.4. Logistic Regression
6.5. Multivariate Adaptive Regression Splines (MARS)
6.6. Locally Estimated Scatterplot Smoothing (LOESS)
7. Instance Based
7.1. kNN
7.2. Learning Vector Quantization (LVQ)
7.3. Self Optimizing Map (SOM)
7.4. Locally Weighted Learning (LWL
8. Hierarchical Clustering
9. Bayesian
9.1. Naive Bayes
9.2. Average One Dependence Estimators (AODE)
9.3. Bayesian Belief Network (BBN)
9.4. Bayesian Network (BN)
9.5. Gaussian Naive Bayes
9.6. Multinomial Naive Bayes
10. Decision Tree
10.1. Classification & Regression Tree CART
10.2. Iterative Dichotomiser 3 (ID3)
10.3. C 4.5
10.4. C 5.0
10.5. Chi Squared Automatic Interaction Detection (CHAID)
10.6. Decision Stump
10.7. Conditional Decision Tree (CDT)
10.8. M 5
11. Dimensionality Reduction
11.1. Principal Component Analysis (PCA)
11.2. Partial Least Square Reduction (PLSR)
11.3. Sammon Mapping
11.4. Multi Dimensional Scaling (MDS)
11.5. Projection Pursuit
11.6. Principal Component Regression (PCR)
11.7. Discriminant Analysis
11.7.1. Linear
11.7.2. Regularized
11.7.3. Quadratic
11.7.4. Flexible
11.7.5. Mixture
11.7.6. Partial Least Squared