决策树与集成算法

用C++实现各种排序算法：如冒泡排序,选择排序,插入排序,希尔排序,快速排序,归并排序,基数排序和堆排序,并带有源代码说明()

波形设计算法，阵列信号处理等相关知识的介绍仿真等(Introduction and Simulation of waveform design algorithm, array signal processing and other related knowledge)

用遗传算法优化支持向量回归机C、g、p参数(Optimization of C, G, P parameters of support vector regression machine by genetic algorithm)

通过贝叶斯信息准则确定高斯混合聚类方法的聚类簇数(Determining the Cluster Number of GMM Clusters by BIC)

时间序列法，通过过去数据来建立相应模型来预测未来数据(Time series, using past data to establish corresponding models to predict future data)

在linux 下C语言实现最近邻聚类算法，工程已经使用(near K neighbor cluster)

MonteCarlo仿真的C++源码,具有参考价值(C source code of MonteCarlo simulation, which has reference value)

一个很实用的采用Neville算法的拉格朗日插值程序,(A very practical Lagrange interpolation program using Neville algorithm,)

1基于MapReduce的K-Means聚类算法， 2基于MapReduce的分类算法 3MapReduce的频繁项集挖掘算法(1 K-Means clustering algorithm based on MapReduce, 2 classification algorithm based on MapReduce 3 Mining Algorithm for frequent itemsets based on MapReduce)

SMOTE插值算法，补全数据的不平衡性。(SMOTE interpolation algorithm to complete the imbalance of data.)