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]

C4.5
k-Means
Support Vector Machines(SVM)
Apriori
Expectation Maximization(EM)
PageRank
AdaBoost
k-Nearest Neighbors(kNN)
Naive Bayes
Classification and Regression Tree(CART)

二、新的10大算法

Linear Regression
Logistic Regression
k_Means
SVMs
Random Forests
Matrix Factorization/SVD
Gradient Boost Decision Trees/Machines
Naive Bayes
Artificial Neural Networks
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?