2020 Spring semester classification and clustering
- 3 types of classifiers
- shallow neural network(self-implemented)
- SVM(use library: scikit-learn)
- AdaBoost(use library: scikit-learn)
- 2 types of clusterings
- K-means(self-implemented)
- Birch(use library: scikit-learn)
- Several numerical metrics of classification and clustering will be calculated
- The results of clustering will be shown by t-SNE