1.決策樹(Decision Trees):
2.樸素貝葉斯分類(Naive Bayesian classification):
3.最小二乘法(Ordinary Least Squares Regression):
4.邏輯回歸(Logistic Regression):
5.支持向量機(Support Vector Machine):
SVM(Support Vector Machine)是二元分類演算法
6.組合方法(Ensemble methods):
7.聚類演算法(Clustering Algorithms):
8.主成分分析(Principal Component Analysis,PCA):
9. 奇異值分解(Singular Value Decomposition):
10.獨立成分分析(Independent Component Analysis): |