机器学习笔记

1、拉格朗日函数、对偶

https://blog.youkuaiyun.com/xierhacker/article/details/72673207

https://www.cnblogs.com/90zeng/p/Lagrange_duality.html

2、svm支持向量机

https://blog.youkuaiyun.com/v_july_v/article/details/7624837

3、ADMM算法

https://blog.youkuaiyun.com/oBanTianYun/article/details/72590188

https://blog.youkuaiyun.com/DanyHgc/article/details/78885835

https://www.zhihu.com/question/36566112/answer/118715721

4、MCMC蒙特卡罗方法和马尔科夫链

https://blog.youkuaiyun.com/anshuai_aw1/article/details/84792383

5、聚类算法

https://blog.youkuaiyun.com/chen_shiqiang/article/details/52121864

6、数学符号sup、inf

https://blog.youkuaiyun.com/D_turtle/article/details/81901853

7、CSDP(clustering by fast search and find of density peaks)是一种基于密度的聚类算法https://blog.youkuaiyun.com/itplus/article/details/38926837
[1]王岩,彭涛,韩佳育,刘露.一种基于密度的分布式聚类方法[J].软件学报,2017,28(11):2836-2850.

https://blog.youkuaiyun.com/xiaokang123456kao/article/details/74978572

8、聚类算法之OPTICS算法

https://blog.youkuaiyun.com/LoveCarpenter/article/details/85049135

https://blog.youkuaiyun.com/nathan1025/article/details/81316987

https://blog.youkuaiyun.com/itplus/article/details/10089323

9、双聚类

https://www.cnblogs.com/lc1217/p/9257150.html

https://blog.youkuaiyun.com/resourse_sharing/article/details/50817214

http://blog.sciencenet.cn/blog-801621-686708.html

10、皮尔森（pearson）相关系数

https://blog.youkuaiyun.com/AlexMerer/article/details/74908435

11、一致性聚类Consensus clustering

http://blog.sina.com.cn/s/blog_6f18d6310102wdso.html

12、布谷鸟算法与莱维飞行

https://blog.youkuaiyun.com/zyqblog/article/details/80905019

13CLIQUE 聚类算法，第一个处理子空间聚类问题的算法

https://www.cnblogs.com/1zhk/p/4676671.html

14、Apriori

https://blog.youkuaiyun.com/baimafujinji/article/details/53456931

15、超启发式算法（hyper heuristic）

https://blog.youkuaiyun.com/u011561033/article/details/85623533

16、向量距离计算方法总结

https://www.cnblogs.com/liujinhong/p/6001997.html