资源列表
GA-PLS-toolbox
- GA-PLS遗传偏最小二乘法 用于数据挖掘或者是光谱特征变量筛选-GA-PLS Genetic Partial Least Squares
airPLS-2.0-matlab
- airpls自适应迭代重加权惩罚最小二乘算法背景扣除的matlab代码- airpls background subtraction matlab code
k-means
- K均值算法，将数据矩阵命名为data，设置聚类簇个数k，可对多维数据进行聚类。-K mean algorithm, the data matrix is named data, set the number of clusters K, can be used to cluster the multi-dimensional data.
sparse-subspace-clustering
- 关于稀疏子空间聚类的算法程序实现，及对应的论文，matlab源码实现。-On sparse subspace clustering algorithm procedures, and the corresponding paper, matlab source code.
kernel-kmeans
- 实现kernel k-means 聚类，可以处理非线性数据-Implement kernel k-means clustering, can handle nonlinear data
6s
- 6s大气传输模型以及用户手册还包括TM实例只需直接输入数据即可-atmosphere transport model,6S,which include manual and some example
s210
- 这是某一风电场从1965年到2006年的实测风速数据。希望对大家有帮助。-This is a wind farm 1965 to 2006 measured wind speed data. I hope everyone has to help.
python-quantitive
- python 分类算法量化投资 SVM 神经网络算法 沪深300指数-python classification algorithm quantitative investment
中医证型的关联规则挖掘
- Apriori关联规则在中医证型中的应用，有对应数据及说明文档，可以运行(It is mainly the application of Apriori association rules in TCM syndromes, which can be run with corresponding data and process descr iption)
PCA+mnist
- 基于python，利用主成分分析（PCA）和K近邻算法（KNN）在MNIST手写数据集上进行了分类。 经过PCA降维，最终的KNN在100维的特征空间实现了超过97%的分类精度。(Based on python, it uses principal component analysis (PCA) and K nearest neighbor algorithm (KNN) to classify on the MNIST handwritten data set. After PCA dime
python疫情数据可视化
- 通过时事数据可视化系统，可以清楚地了解全球疫情分布的状况以及密度，以便做出相应的对策(Through the current affairs data visualization system, it is possible to clearly understand the distribution and density of the global epidemic in order to make corresponding countermeasures)
SpringBoot+jsoup爬虫
- 本地创建.xlsx文件，里面存放京东商品地址，运行项目启动导入本地xlsx文件，自动爬取文件中地址信息下载到本地