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(Dimensionality Reduction Algorithms (Principal Component Analysis (PCA),…
Dimensionality Reduction Algorithms
Principal Component Analysis (PCA)
Nonnegative Matrix Factorization (NMF)
Independent Component Analysis (ICA)
Linear Discriminant Analysis (LDA)
Regularization Algorithms
Ridge Regression
Least Absolute Shrinkage and Selection Operator (LASSO)
Elastic Net
Least-Angle Regression (LARS)
Artificial Neural Network Algorithms
Back-Propagation
Perceptron
Radial Basis Function Network (RBFN)
Hopfield Network
Predict Models
Classification
k-Medians, k-Means, k-Metoids, Fuzzy c-means
Expectation Maximisation (EM)
Hierarchical Clustering
Decision Tree Algorithms
Support vector machine
DBSCAN
Regression
Logistic Regression
Ordinary Least Squares Regression (OLSR)
Decision Tree Algorithms
Classification and Regression Tree (CART)
Conditional Decision Trees
Random Forest
Linear Regression
Support vector machine