资源列表
rec
- Java实现将movielens各种规模数据的划分为测试集和训练集-Split movielens dataset to trainset and test set
find
- 从excel中读取所需文档的数据，并写进相对位置，对名称进行文件路径字符串拼接-From the excel to read the required document data, and write the relative position, the name of the file path string stitching
PR
- 基于随机游走的推荐算法，python实现。-Random walk based recommendation
knn
- KNN简单分类算法C++的实现，大家可以参考下，采用欧式距离，里面包含了knn.cpp以及train.txt，test.txt，rusult.txt-Classification algorithm (KNN), the realization of the c++, you can reference, USES the Euclidean distance, which contains the KNN, CPP and train. TXT, test. TXT, rusult. TXT
FPtree
- 数据挖掘中关联规则算法的FPtree算法的Python实现。FPtree算法比apriori算法更擅于处理大规模的数据-Data Mining Association Rules algorithm FPtree algorithm implemented in Python. FPtree algorithm apriori algorithm is more than adept at handling large data
knn
- 这是一个简单的测试knn算法的代码，便于初学者学习和理解knn算法-This is a simple test knn algorithm code, for beginners to learn and understand knn algorithm
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
delete-outliers
- 用于去除一个数据集中的野点的matlab函数，可应用数据建模及统计分析-For input vector A, returns a vector B with outliers (at the significance level alpha) removed. Also, optional output argument idx returns the indices in A of outlier values. Optional output argument outlie
frequency_filters
- 本人在实际项目中使用的各种滤波算法，实践证明可用，效果好。-Use a variety of filters in their own projects to verify the good use.
Matlab
- 1.计算两类样本的隶属度；2.使用quadprog函数求解svm的拉格朗日乘子；3.主成份分析-1.caculate the membership of 2 samples；2.use quadprog function to get the lagrangian multiplier；3.principle component analasys
AprioriMain
- Apriory算法是数据挖掘中常用的挖掘初始数据的算法，传统的apriory算法在大数据的情况下实现效率很低，我通过java中的hash结构进行了改进，将效率提高。-Apriory data mining algorithms commonly used in the initial data mining algorithms, the traditional apriory inefficient algorithm in the case of large data, I have bee
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.