Nearest neighbor pattern classification (k-nearest neighbor classification,KNN)byM. E. Maron ({Github}) The nearest neighbor decision rule assigns to an unclassified sample point the classification of the nearest of a set of previously classified points. This rule is independent of the underlying joi...
分类与回归树CART是由Loe Breiman等人在1984年提出的,自提出后被广泛的应用。CART既能用于分类也能用于回归,和决策树相比较,CART把选择最优特征的方法从信息增益(率)换成了基尼指数。 1967 Nearest neighbor pattern classification (k-nearest neighbor classification,KNN)byM. E. Maron ({Github}) ...
Nearest neighbor pattern classification (k-nearest neighbor classification,KNN)byM. E. Maron ({Github}) The nearest neighbor decision rule assigns to an unclassified sample point the classification of the nearest of a set of previously classified points. This rule is independent of the underlying joi...