资源列表
EuclideanDistance
- it s matlab code for Euclidian distane in data miningin pattern recognition
spectral
- 用matlab实现的谱聚类算法，简单实用，已测试通过-Using spectral clustering algorithm matlab realized, simple and practical, have been tested
Apriori
- Apriori算法，数据挖掘中很重要的方法，非常实用-Apriori algorithm, data mining is very important way, very practical
CCE
- 周志华多标记学习代码 属性约简以及代价敏感测试-Zhou Zhihua multi-label learning codes
treePlotter
- 决策树根据信息增益对数据进行分类，并且构造树的结构，输出结果易于理解-Decision tree based on information gain to classify the data, and construct the structure of the tree, the output result is easy to understand
Example-of-BL-Model
- 金融工程中Black-Litterman模型的R语言代码+案例-Financial engineering R Language Black-Litterman model code+ Case
KNN-implement-by-python
- 该程序是用python编写一个K近邻算法，通过该例子可以掌握K近邻算法，是学习数据挖掘的一个高效的算法。-The program is written in python a K-nearest neighbor algorithm, this example can grasp the K-nearest neighbor algorithm, a learning data mining and efficient algorithms.
KNN
- K近邻算法的python代码，针对婚恋网站调查数据-the python code especially for k-nearest algorithm on the condition of wedding data
Top10
- 推荐系统 简单top算法 python编程函数-Recommended system is simple arithmetic top
FCMCluster
- 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称（ FCM）。在众多模糊聚类算法中，模糊C-均值（ FCM） 算法应用最广泛且较成功，它通过优化目标函数得到每个样本点对所有类中心的隶属度，从而决定样本点的类属以达到自动对样本数据进行分类的目的。- 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称（ FCM）。在众多模糊聚类算法中，模糊C-均值（ FCM） 算法应用最广泛且较成功，它通过优化目标函数得到每个样本点
test3
- PYTHON编写，网络小爬虫，用于爬取某网站书籍图片-network crawler
kmeans
- 最简单易懂的聚类方法，用python实现k-means对数据的聚类-The most straightforward clustering method, using python to achieve k-means clustering of data