机器学习 6 unsupervised learning
Machine Learning lesson 12 http://v.163.com/movie/2008/1/O/T/M6SGF6VB4_M6SGKGMOT.html 1. clustering 2. k-means clustering algorithm K-means算法是很典型的基于距离的聚类算法,采用距离作为相似性的评价指标,即认为两个对象的距离越近,其相似度就越大。 3. density estimation anomaly detection or standout analysis 4. EM algorithm 这种方法可以广泛地应用于处理缺损数据,截尾数据,带有噪声等所谓的不完全数据(incomplete data) see more inhttp://baike.baidu.com/view/1541707.htm Gaussian Discriminant Analysis maximum likeliness estimation Jensen's inequality: In the context of probability theory,it is generally stated in the following form: if X is a random variable and f is a convex function,then f(EX) <= E(f(X)). (编辑:李大同) 【声明】本站内容均来自网络,其相关言论仅代表作者个人观点,不代表本站立场。若无意侵犯到您的权利,请及时与联系站长删除相关内容! |