资源列表
python-LDA-master
- 使用python语言实现TFIDF文本关键字提取代码-Python tfidf
svm
- 运用支持向量机对一组超宽带非视距信号识别-Support Vector Machine Signal Identification
C4.5
- C4.5算法的matlab实现，里面有标准数据集作为实例进行演示-C4.5 algorithm matlab implementation, which has a standard data set as an example to demonstrate
chapter1
- BP神经网络的数据分类-语音特征信号分类-The phonetic characteristics data of BP neural network classification- signal classification
F_Score
- 特征选择的一种方法，对数据矩阵进行f打分，然后降序排序，可以从中发现重要的数据。-A method of feature selection, to f score data matrix, and then descending order, you can find important data.
lasso
- 使用lasso方法，对特征矩阵进行优化特征选择（向量选择），使其达到最优。-Use lasso method, optimize the characteristic matrix feature selection (vector selection), to the optimal.
best-fit-demo
- 一个好的拟合算法，可能拟合直线、园、椭圆函数-Best-fitting line, circle and ellipse
data-mining
- 常用的一些数据挖掘算法，包括Apriori,SVM,神经网络，遗传算法，K-means。-some commonly used data-mining algorithms,including Apriori,SVM,Neural Network，Genetic algorithm，K-means
Data-mining
- 5种Python数据挖掘算法：Bayes,Apriori,K-means,ID3,K-data mining of Python
kmeans
- Kmeans算法的matlab实现，包括主程序和main程序，可运行，易于理解。-Kmeans algorithm matlab implementation, including the main program and the main program can be run, easy to understand.
FJIR.R
- 模糊聚类分析 - 建立模糊相似矩阵，以R语言实现。-build a fuzzy matrix
KPCA
- 一个可以直接调用的kpca程序，自己修改的，证明可用的-One can directly call the KPCA program, modify their own, proven available