资源列表
SVD_EST
- 自行编写的加入噪声估计的KSVD去噪算法，利用SVD分解进行噪声估计- KSVD denoising algorithm to prepare the addition of noise estimation, the use of SVD decomposition noise estimation
KSVD
- ELAD论文中的KSVD分解标准程序，可对照论文进行理解-ELAD papers in the KSVD decomposition standard procedures, can be controlled to understand the paper
apcluster
- 聚类算法是应用于数据挖掘和模式识别中很重要的一种分析方法，ap是新提出的一种聚类算法，不需要事先指定聚合点的数目-Affinity Propagation (AP) clustering has been successfully used in a lot of clustering problems. However, most of the applications deal with static data.
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
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
ENtool
- the toolbox contains a good functions for ensemble learning.
micro_macro_PR
- the code calculate both Fscore micro and macro. Fscore is usedas classifier performance
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
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
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
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
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