YTCVI47

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

主要针对行为识别，常用数据处理方法及分类，可视化 包含数据集(Mainly for behavior recognition, commonly used data processing methods and classification, visualization Contain data sets)

EMD经验模态分解算法程序，适合非线性，非平稳时间序列的处理(EMD empirical mode decomposition algorithm program)

说明：  隐马尔科夫实现，包含forward-hmm, Viterbi-hmm, Baum-Welch-hmm(Hidden Markov implementation, including forward-hmm, Viterbi-hmm, Baum-Welch-hmm)

说明：  PCA 数据降维 PTYTHON 数据分析/挖掘(PCA dimensionality reduction data mining/analysis)

包含了01背包和非01背包两个程序！是我一次作业完成的,可以参考一下！()

说明：  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)

说明：  基于股票数据的神经网络，关于结算的预测，通过遗传算法加以改进(Based on the neural network of stock data, the prediction of settlement is improved by genetic algorithm)

分类器的性能比较与调优: 使用scikit-learn 包中的tree，贝叶斯，knn，对数据进行模型训练，尽量了解其原理及运用。 使用不同分析三种分类器在实验中的性能比较，分析它们的特点。 本实验采用的数据集为house与segment。(Performance comparison and optimization of classifiers: We use tree, Bayesian and KNN in scikit-learnpackage to train the data model and try to understand its principle and application. The performances of three classifiers are compared and their characteristics are analyzed. The data set used in this experiment is house and segment.)

一个833分酒问题的求解,C++编写,简单易读,输出最佳路径解,()