0056764

二进制粒子群优化算法pso,主程序：swarmpso m 它包括以下子程序： 1 　初始化：swarminit m 2 　适应值计算函()

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)

Python数据预处理示例，包括数据清洗、数据整合、数据变换等操作。(Python data preprocessing examples, including data cleaning, data integration, data transformation and other operations.)

算法分析中的贪心算法的实现,并有完整的测试数据()

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)

说明：  用来作分类识别的KNN算法,非常好用非常好用(A very useful nearest neighbor algorithm)

决策树与集成算法，用来分类已知数据种类，希望对编程有帮助(Decision tree and ensemble algorithm are used to classify known data types.)

脉动风速功率谱估计,并与标准风谱进行对比()

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

周志华 机器学习 第三章 python 参考答案(Zhou Zhihua machine learning third chapter Python reference answer)