资源列表
Mymeans
- k-means（k均值聚类）,使用R语言实现，分类的准确度跟自带的差不多-k-means written by myself
Kmodes
- K-modes算法的matlab实现，输入数据集，输出聚类类标号。-The Matlab program of K-modes algorithm
Jason211
- 从Jason2卫星的nc文件中提取测高数据进行网格化处理 1*1 -Extract altimetry data Jason 2 satellite nc mesh file processing* 1 1
logisticPxgboost
- logistic模型变量选择以及xgboost算法实例-an example of logistic model selection and xgboost algorithm
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
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
gmm
- Clustering of data points using Gaussian Mixture Model and EM Algorithm
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
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.
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
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
online-perceptron
- Online perceptron Algorithm on spambase dataset.