LOF（局部异常因子）是用于识别基于密度的局部异常值的算法-It uses local outlier mining method to count the Local Outlier Factor(LOF) of the outlier candidated object。

该算法，解决了不收敛的问题，聚类效果非常好。改进的蚁群算法是基于遗传算法的改进，在基本遗传算法的基础之上，加入了变异因子，产生变异，从而更快的收敛。-The algorithm solves the problem of convergence, and the clustering effect is very good. The improved ant colony algorithm is based on the improvement of genetic algorithm. O

主成分分析是多元统计分析中用来分析数据的一种方法，它是用一种较少数量的特征对样本进行描述以达到降低特征空间维数的方法(Principal component analysis is a method of data used in multivariate statistical analysis, it is describing the samples with characteristics of a small number of methods to reduce the dimens

因子分解机( FM)算法是一种基于矩阵分解的机器学习算法，是一种常用的推荐算法。(Factorization algorithm is a matrix-based machine learning algorithm, which is a commonly used recommendation algorithm.)