Mindmap
Clasificacion
Inhalt der Mindmap
Clasificacion
Supervisados
- Clasificación
- Support vector machines
- Naïve Bayes
- Gaussian Bayes
- k-Nearest neighbors (kNNs)
- Logistic regression
- Regression
- Forecasting
- Clasificación
No supervisados
- Association
- Clustering
- Dimensionality Reduction
- Feature Extraction
- Apriori algorithm
- FP growth (also known as frequent pattern growth)
- Hidden Markov Model
- Principal component analysis (PCA)
- Singular value decomposition (SVD)
- k-Means
- Neural networks
- Deep learning
- Feature Extraction
Semi-supervised
Reinforcement Learning
Data Mining
- C4.5
- k-Means
- Support vector machines
- Apriori
- EM (expectation–maximization)
- PageRank
- AdaBoost
- kNN
- Naive Bayes
- CART (Classification and Regression Trees)
Informationen
- Beschreibung
- Mindmap am Clasificacion, erstellt von JORGE MEDINA AVELINO am 22/06/2021.
- Erstellt von
- JORGE MEDINA AVELINO · Jun 2021
- Aktualisiert
- 24 Aug 2021
- Aufrufe
- 0
- Bewertung