资源列表
python_fcm
- 我自己写的关于模糊进制分类的算法，采用二维数据，经过测试可以运行。-I wrote about fuzzy classification algorithm into the system, USES the two-dimensional data, after the test can be run
MyId3
- 用c#编写的id3算法，用于数据挖掘，经过测试可以运行。-Id3 algorithm written in c#, used for data mining, through the test can be run.
SNR-(-Signal-to-Noise-Ratio-)
- 很有用的信噪比算法，并且附带了数据，很有用，测试过的。-The signal-to-noise ratio of the useful algorithm, and comes with the data, is useful, tested.
decisiontree
- matlab决策树程序，输入数据和变量名，输出分类结果-matlab tree program, input data and variable names, the output of the classification results
K-means-Ensemble
- 该算法是基聚类算法为K-means，然后再进行聚类集成，方法为投票法-The algorithm is based on clustering algorithm for K-means, and then the clustering ensemble, method for voting
K_Means-algorithm
- very useful matlab code for K_Means Algorithm it can be use after change the given input data or use the original one that i provided with the code you can start by run K_Means_Clustering.m
TSP
- 用遗传算法解决旅行商问题，注释比较详尽，便于理解-Solve the traveling salesman problem using genetic algorithms, more detailed notes, easy to understand
workflowsim
- workflowsim工作流仿真和模拟，包括各种例子和说明-workflowsim workflow simulation and modeling, including examples and illustrations
micro_macro_PR
- the code calculate both Fscore micro and macro. Fscore is usedas classifier performance
ENtool
- the toolbox contains a good functions for ensemble learning.
ML_Metric-function
- 上传的代码为多标签数据分类的度量函数 用于对多标签数据分类进行效果上的度量-Upload code for the multi-label data classification function is used to measure multi-label classification data to measure the effect on
mLknnMATLAB
- 本代码主要用了多标签K近邻方法（MLKNN）实现对多标签数据进行分类-This code mainly spent more than a label K-nearest neighbor method (MLKNN) to achieve the multi-label data classification