资源列表
Apriori
- 实现基本的Apriori算法，可以实现数据关联规则的挖掘处理，进行分类预测-To achieve the basic Apriori algorithm can handle data mining association rules, classification and predication
R-Code-for-FS-using-FRQR
- R code for FS using FRQR
discriminant-analysis
- 判别样本所属类别的方法，主要包括Fisher判别、朴素Bayes判别和距离判别等-The method for determining the sample belongs to the category of specific methods include Fisher discriminant, discriminant and Bayes discriminant distance
svr-kernel-function-version
- 用matlab实现了支持向量回归，并且使用了核函数，对于各种维度的数据均可使用-Using matlab to achieve an SVR, and uses kernel functions for the various dimensions of the data can be used
17994709
- 算法分析中的实例,利用分治思想解决此类问题()
svm
- 该代码实现了经典的SVM支持向量机算法，Python语言编写，产生结果图。(This code implements the classic SVM support vector machine algorithm, Python language, and produces the result graph.)
SSTCA
- 半监督迁移SSTCA算法实现,matlab代码。包括拉普拉斯图矩阵(Semisupervised Domain Adaptation via Transfer Component Analysis)
Stacking
- Staking算法，模型融合的一种算法，可以取得比任意用于融合的模型都更好的效果(Staking algorithm, an algorithm for the integration of the model, you can achieve better than any model for the integration of the effect)
oor-Classification-Classification
- BP网络的应用： BP神经网络用于分类与回归, 使用matlab打开(Application of BP Network: BP Neural Network is used for Classification and regression, matlab is used to Open)
PCA
- 本程序可以对高维数据进行降维，便于得到主成分进行后续分析。(This program can reduce dimension of high-dimensional data and facilitate principal component analysis for subsequent analysis.)
豆瓣
- 使用爬虫从豆瓣官网获得影评TOP250的电影，以Excel文件的形式存储在本地。(Use the crawler to get the top 250 movie reviews from Douban official website and store them locally as Excel files.)
ELM_样例
- 极限学习机（Extreme Learning Machine, ELM）用来训练单隐藏层前馈神经网络（SLFN）与传统的SLFN训练算法不同，极限学习机随机选取输入层权重和隐藏层偏置，输出层权重通过激活函数函数，依据Moore-Penrose（MP）广义逆矩阵理论计算解析求出。(Extreme learning machine (ELM) is used to train single hidden layer feedforward neural network (SLFN). Differe