(1)谱聚类:http://blog.sina.com.cn/s/blog_4b9b714a0100is4f.html
(2)从零开始实现线性回归、岭回归、lasso回归、多项式回归模型:https://blog.youkuaiyun.com/u013719780/article/details/78241046
(3)数据预处理系列:用核PCA实现非线性降维:
https://blog.youkuaiyun.com/u013719780/article/details/51767341
(4)机器学习方法(七):Kmeans聚类K值如何选,以及数据重抽样方法Bootstrapping:
https://blog.youkuaiyun.com/xbinworld/article/details/50663769#comments
(5)K-means聚类最优k值的选取:
https://blog.youkuaiyun.com/qq_15738501/article/details/79036255
(6)机器学习降维算法四:Laplacian Eigenmaps 拉普拉斯特征映射
https://blog.youkuaiyun.com/qq_15738501/article/details/79036255
机器学习降维算法二:LDA(Linear Discriminant Analysis)
https://blog.youkuaiyun.com/xbinworld/article/details/6995463
(7)
ipython notebook使用教程
https://blog.youkuaiyun.com/worfs123456/article/details/53506351
(8)