Regresión lineal, bayesiana, Lasso, Ridge, polinómica, Elastic Net, GBM, XGBoost, LightGBM, CatBoost, AdaBoost, árbol de decisión, Random Forest, Redes Neuronales, Series temporales (Exponential smoothing, AR, MA, ARMA, ARIMA, SARIMA, GARCH).
kNN, Naive Bayes, SVM, regresión logística, GBM, XGBoost, LightGBM, CatBoost, AdaBoost, árbol de decisión, Random Forest, Redes Neuronales.
K-means, Hierarchical clustering, K-medoids (PAM), Expectation-Maximization, DBSCAN, Gaussian Mixture Models, Fuzzy c-Means, Mean-shift
Apriori, Eclat, FP-Growth
GSP, PSP, SPADE, DEGSeq, FreeSpan, PrefixSpan, CloSpan, SSMiner, IncSpan, BIDE, MG-FSM
tSNE, PCA, PLS, PCR, LSA, SVD, LDA, ICA, UMAP, ISOMAP, CCA, PCR, NMF (Non-negative matrix factorization), GLRM (Generalized Low Rank Models)
Isolation forest, one-class SVM, Cluster analysis, PCA-based Anomaly detection, Local outlier Factor (LoF), Métricas de distancia1
1Numéricas: euclídea, euclídea normalizada, Manhattan, Canberra, Minkowski, Mahalanobis, Chebyshev; Categóricas: chi-cuadrado, Levenshtein, Hamming, Simple matching coefficient, Índice de Jaccard; Mixta: Gower
Algoritmos genéticos, SARSA, Q-learning, A3C, DeepQ-network, Monte Carlo, Proceso de decisión de Markov
Indirecta o filtrado: Correlación de pearson, LDA, ANOVA, Chi cuadrado, Welch t-prueba, prueba F de Fisher.
Directa o wrapper: Recursive Feature Elimination, Algoritmos genéticos, Simulated annealing, Best Subset Selection, Forward Stepwise Selection, Backward Stepwise Selection, Sequential Feature Selector.
Filtro colaborativo (Collaborative filtering), filtro basado en contenido (Content-based filtering), mixtos
- Descriptores y/o detectores: HOG, BRIEF, ORB (FAST + BRIEF), BRISK, SIFT, SURF, KAZE, AKAZE, FREAK, GLOH, LESH, LDB, MSER, DAISY, PCBR, LoG, DoG, DoH, VLAD, Viola-Jones, Lucas-Kanade, Horn-Schunk, filtro de Kalman, filtros de Haar
