Data Mining: Models, Algorithms and Applications
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- Data Preprocessing
- k-means clustering
- Fuzzy c-means clustering
- Evolutionary clustering
- Self-Organizing Map: SOM
- Density based clustering
- Model based clustering
- Nearest Neighbor
- Bayesian Approach
- Decision Tree
- Support Vector Machines: SVM
- Perceptron
- Multi-Layer Perceptron: MLP
- Radial Basis Functions: RBF
- Association Rules
- Data Mining Using Neural Networks