资源列表
ProcessData
- 以数据分割为中心进行探讨对数据进行分割，可缩小待访问数据对象的范围或磁盘空间，提高检索性能，把分割后的数据放到不同的磁盘上，提高数据库并行访问的能力-To split the data into the data center to explore split, the data object to be accessed can be reduced scope or disk space to improve the retri performance, the data is divid
nn-classification
- Matlab code for classification using neural networks
K-MEAN
- k-均值聚类算法的源代码，推荐的大家使用junzhinjuleisuanfa-k-junzhiyuandaima
knn
- 最简单的机器学习分类方法knn算法的python实现-The easiest method of machine learning classification algorithm python achieve knn
svm
- 最经典的机器学习方法svm分类器的python实现-The most classic machine learning svm classifier python realization
dpa
- 2014年12月science新给出的dpa聚类算法的python实现-December 2014 science given new clustering algorithm python achieve dpa
bikmeans
- 用python实现的二分k-means聚类方法，比k-means效率更高-With half of k-means clustering method python achieve higher efficiency than k-means
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
svm_python
- 在机器学习领域，支持向量机SVM(Support Vector Machine)是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析。本程序是SVM的python实现，用的是SMO算法。只能进行分类，并且能够显示图形结果。-In the field of machine learning, support vector machines SVM (Support Vector Machine) is a supervised learning model is usually use
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.
Compact-2.2
- 数值聚合分析matlab源码，欢迎下载。- Aggregated analysis matlab source code, welcome to download.
multi-dimensional-particle
- 一维及二维数据粒子算法寻优,包括1）二维粒子算法参数寻优-替代网格寻优；2）一维数据粒子算法寻优（极值）。- One dimensional and two dimensional data particle algorithm optimization, including 1) two dimensional particle algorithm parameter optimization- alternative grid optimization 2) one dimens