MIML - MeteoInfo Machine Learning Toolbox¶
- Classification
- K-Nearest Neighbor
- Linear discriminant analysis
- Fisher’s linear discriminant
- Quadratic discriminant analysis
- Regularized discriminant analysis
- Logistic regression
- Multilayer perceptron neural network
- Radial basis function network
- Support vector machine
- Decision tree
- Random forest
- Gradient boosted trees
- Adaptive Boosting
- Regression
- Clustering
- Agglomerative Hierarchical Clustering
- K-Means
- X-Means
- G-Means
- Clustering Large Applications based upon RANdomized Search
- Balanced Iterative Reducing and Clustering using Hierarchies
- Deterministic Annealing Clustering
- Density-Based Spatial Clustering of Applications with Noise
- DENsity CLUstering
- Sequential Information Bottleneck
- Spectral Clustering
- Minimum Entropy Clustering
- Neural Network
- Deep learning
- Model selection