资源列表
Program
- 产品服务配置C++程序,最终版,运行无误,欢迎交流-C++program for PSC problem
change-detection
- 对数据做变化检测,分析哪些部分变化比较大,并绘图-The data do change detection, which analyzes some of these changes is relatively large, and drawing
k_means
- k-means聚类算法,该算法已经经过验证,描述了聚类的过程-k-means clustering algorithm, which has been validated, we describe the process of clustering
online-perceptron
- Online perceptron Algorithm on spambase dataset.
pocket-PLA
- 贪婪感知器算法。R语言实现版本,每次会把最优的分类抓在手上-pocket perceptron learning of algorithm
CHI
- 计算特征的卡方校验值,最后一列为样本标签,输出为特征的卡卡校验值及对应的特征序列号-The chi-square calculate checksum feature, the last one as a sample label, the output characteristics of the card verification value and the corresponding serial number feature
douban
- 网络爬虫编码,可爬取数据,可以用于初学者学习,具有较好的参考价值。-Network crawler coding, crawling data can be used for beginners to learn, with a good reference value.
HieraClust
- 针对聚类分析中的类间距离,包含多种源码程序,效果很好-For clustering analysis of distance between classes, including a variety of program source code, the effect is very good
gmm
- Clustering of data points using Gaussian Mixture Model and EM Algorithm
LapLDA
- 利用LapLDA进行初始化,预测出无标签数据XU的类别信息,这样所有的训练样本都有类别了。 为样本 的软类别标签,软类别标签中最大的问题对应其具体类别。 LapLDA可用基于原始数据的LLE-style reconstruction weights -LLE-style reconstruction weights
SVR
- 用于回归的支持向量机程序,改程序用python语言编写,使用前需安装libsvm-Support vector machine for regression procedure, change program written in python, using libsvm before installation
logisticPxgboost
- logistic模型变量选择以及xgboost算法实例-an example of logistic model selection and xgboost algorithm