资源列表
scaleForSVM
- 用SVM进行分类时，需要对原数据进行归一化处理。-When using SVM classification, the need for raw data normalized.
parzen
- 本代码应用非参数估计法对一簇未知分布的数据进行分布函数估计- The code in the application of non parametric estimation method for estimation of the distribution function of a cluster of unknown distribution data The code in the application of non parametric
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
PCA
- 主成分分析法PCA，matlab源码，欢迎下载。-Principal component analysis PCA, matlab source code, welcome to download.
FJIR.R
- 模糊聚类分析 - 建立模糊相似矩阵，以R语言实现。-build a fuzzy matrix
CF
- 这是用matlab写的协同滤波算法主程序，程序简单，易于理解。可以应用于推荐系统-It is used to write collaborative filtering algorithm matlab main program, the program is simple and easy to understand. Recommended system can be applied。。。。。。
meanshift
- Clustering using Meanshift Algorithm
k_nn
- kNN的思想:计算待分类的数据点与训练集所有样本点，取距离最近的k个样本；统计这k个样本的类别数量；根据多数表决方案，取数量最多的那一类作为待测样本的类别。距离度量可采用Euclidean distance，Manhattan distance和cosine。-kNN The idea is simple: the training set and calculated data points to be classified all sample points taken the neare
AKPCA
- 南京大学数据挖掘研究所提出的主动学习算法，对于改进KPCA有着重要的借鉴作用。-The active learning algorithm proposed data mining research institute of nanjing university, has an important reference for improving the KPCA.
minimum_spanning_tree
- 本程序是基于最小洗漱树的分类器 可得到分类效果不错的分类器-This procedure is based on a minimum wash tree classifier good classification results obtained classifier
GAKMeans
- 由于Kmeans聚类分析是一个局部的搜索过程，因此加入遗传算法进行全局搜索选择最优的初始中心点使得Kmeans算法产生较大的改进-Since Kmeans Cluster analysis is a local search process, so join a global search for the genetic algorithm to the optimal initial centers such Kmeans algorithm produces greater improve
w27
- 适合处理海量数据的python源码，可读入txt和csv 格式文件。-Suitable for massive data processing python source, read into txt and csv Format files.