资源列表
YPML101-Evolutionary-Clustering
- dbscan聚类算法matlab代码，实测可用-dbscan clustering matlab code!!
ypml110-dbscan-clustering
- 分类算法，实测可用，可选择分类算法类型进行分类。-Classification algorithm, found available, you can choose the type of classification algorithm to classify.
agenes
- 基于层次聚类的算法.最初将每个对象作为一个簇，然后这些簇按照某些规则一个个合并起来-The algorithm based on the hierarchical clustering algorithm, which is used as a cluster of each object at first, then the clusters are merged according to some rules.
edit_distance
- 字符串的编辑距离也被称为Levenshtein距离（Levenshtein Distance），一般用动态规划来实现。属于经典算法。-Edit distance of the string is also known as the Levenshtein distance (Distance Levenshtein), the general use of dynamic programming to achieve. Belong to the classical algorithm.
dataset
- 自己写的python canny算法，可以对图片进行边缘检测，要求见PPT,可根据需要调整代码-Write your own python canny algorithm that can detect the edge of the picture, asked to see the PPT, the code can be adjusted as needed
DataMining_5
- java实现的决策树代码和随机森林以及Adaboost,里面有自带的数据集可以测试，结果和书上描述一样，亲测有效-DesicionTree，RandomForest and AdaBoost implemented by java,have been tested by myself.It can help those who want to learn data mining
apriori
- aprior算法的java实现，比较简单，能输出关联规则。经测试，可用。-apriori algorithm to achieve the java, is relatively simple and can output association rules. Tested and available.
apriori_fpgrowth
- apriori和fp-growth算法的c实现，十分高效。-apriori and fp-growth algorithm c realized, very efficient.
DataMiningFPGrowth
- FP-Growth算法的java实现，简单易于理解。经测试，可用。不过不能输出关联规则。-FP-Growth algorithm to achieve the java, simple and easy to understand. Tested and available. But not output association rules.
DataMiningApriori
- apriori的java实现，写的有点长，不能输出关联规则。经测试，可用。-apriori achieve the java, write a bit long, you can not output association rules. Tested and available.
FP-Growth
- fp-growth算法的c++实现，比较简单，但不能生成关联规则。-fp-growth algorithm c++ implementation, relatively simple, but can not generate association rules.
clsf_dpd1
- 基于粗糙集和遗传算法的属性约简，包含核及不可区分关系等求解-Attribute reduction based on rough sets and genetic algorithm, including nuclear and indistinguishable relationship to solve