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