新的10大数据挖掘、机器学习算法

一、原来的10大算法

2006年，IEEE的数据挖掘会议选出了10大算法：[见点击打开链接]

1. C4.5
2. k-Means
3. Support Vector Machines(SVM)
4. Apriori
5. Expectation Maximization(EM)
6. PageRank
7. AdaBoost
8. k-Nearest Neighbors(kNN)
9. Naive Bayes
10. Classification and Regression Tree(CART)

二、新的10大算法

1. Linear Regression
2. Logistic Regression
3. k_Means
4. SVMs
5. Random Forests
6. Matrix Factorization/SVD
7. Gradient Boost Decision Trees/Machines
8. Naive Bayes
9. Artificial Neural Networks
10. 以下可以任挑一个：Bayesian Networks, Elastic Nets, Any other clustering algo besides k-means, LDA, Conditional Random Fields, HDPs or other Bayesian non-parametric model

参考文献：

What are the top 10 data mining or machine learning algorithms?