资源列表
WordFrequenceCount
- 基于文本的词频计算，对文本内的单词进行统计，可统计上万单词，一次输出。-Based on the text of the word frequency calculation, the words within the text statistics, statistics can be tens of thousands of words, an output.
TurbulentWindGenerator
- 三维风场模拟.利用Kaimal spectrum结合FFT进行风场模拟，生成风速时程得进行必要参数的定义。-3D Turbulent Wind Generation。 Generation of three-dimensional turbulent wind fields, by employing a Kaimal spectrum and IEC-based coherence function.
sklearnExample
- SVM，支持向量机，可以实现分类。svm,svm-support vector machine
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
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
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.
Data-mining
- 5种Python数据挖掘算法：Bayes,Apriori,K-means,ID3,K-data mining of Python
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
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
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.
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.
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