数据仓库与数据挖掘课程设计 - 教程

之前的课程设计内容是分开发布的，这篇博客做一个整合，给出每个题目的网页导航。

一、Apriori

Apriorihttps://blog.csdn.net/Liu_Xin233/article/details/128337643?fromshare=blogdetail&sharetype=blogdetail&sharerId=128337643&sharerefer=PC&sharesource=Liu_Xin233&sharefrom=from_link

二、k-Nearest Neighbors

k-Nearest Neighborshttps://blog.csdn.net/Liu_Xin233/article/details/128337734?fromshare=blogdetail&sharetype=blogdetail&sharerId=128337734&sharerefer=PC&sharesource=Liu_Xin233&sharefrom=from_link

三、DBSCAN

DBSCANhttps://blog.csdn.net/Liu_Xin233/article/details/128337736?fromshare=blogdetail&sharetype=blogdetail&sharerId=128337736&sharerefer=PC&sharesource=Liu_Xin233&sharefrom=from_link

四、K-Means

K-Meanshttps://blog.csdn.net/Liu_Xin233/article/details/128588630?fromshare=blogdetail&sharetype=blogdetail&sharerId=128588630&sharerefer=PC&sharesource=Liu_Xin233&sharefrom=from_link

五、PageRank

PageRankhttps://blog.csdn.net/Liu_Xin233/article/details/128589047?fromshare=blogdetail&sharetype=blogdetail&sharerId=128589047&sharerefer=PC&sharesource=Liu_Xin233&sharefrom=from_link

六、模型评估指标

模型评估指标https://blog.csdn.net/Liu_Xin233/article/details/128589252?fromshare=blogdetail&sharetype=blogdetail&sharerId=128589252&sharerefer=PC&sharesource=Liu_Xin233&sharefrom=from_link