资源列表
APriori
- 用于生成频繁项集，后续关联算法，希望能对大家有所帮助-Used to generate frequent item sets, the subsequent correlation algorithm, we hope to help
k-means-by-LR
- 标准的数据挖掘聚类算法 k均值聚类 k-means聚类 严格按照标准算法执行 简单高效-Standard data mining clustering algorithm k-means clustering In strict accordance with the standard algorithm is simple and efficient execution
fenjieceng
- 对四层二维离散小波进行信息熵计算，通过对比低频子带信息熵的差值求解最佳分层数，希望对大家能有所帮助-For four-dimensional discrete wavelet information entropy calculated by comparing the difference between the low-frequency sub-band information entropy solving optimum number of layers, in the hope th
cluster_Matlab
- 这里比较了几种聚类算法，包括普聚类，kmeans等。-Here compared several clustering algorithms, including Cape clustering, kmeans like.
cfmatrix
- 这是混淆矩阵源代码，可以输出分类结果的混淆矩阵，用于模式识别，数据挖掘等。-this is cfmatrix code
rgyq
- 人工鱼群算法的实现代码，有效处理优化寻优问题，比遗传算法、PSO具有更好的优化效果-Artificial fish swarm algorithm code to deal effectively optimize the optimization problem, with better optimization results than the genetic algorithm
libsvm-3.21.tar
- svm仿真,基于c语言的编写，可以用于matlab，python以及java等多种语言-simulation for svm
FP-tree
- 通过pyspark实现了fptree的使用，得到频繁项集-By pyspark realized fptree used to obtain frequent itemsets
pyspark_process
- 使用pyspark进行文本分类算法实现,其中使用了tf-idf表示-Use pyspark text classification algorithm, which uses the tf-idf representation
keyword_find
- 实现了将pdf转换为txt,并且进行分模块的关键词抽取算法-Realized convert pdf to txt, and dividing module keyword extraction algorithm
randomForest_4.6-12
- 随机森林R语言安装包,可以安装到R语言中，直接调用使用-Random forest R language installation package can be installed to the R language, called directly use
K-Nearest-Neighbor
- 数据挖掘中经典的KNN（K-最近邻）算法，导入即可运行-Data Mining the classical KNN (K- nearest neighbor) algorithm, you can import operation