资源列表
AprioriAlgorithm.tar
- apriori的c#实现代码，利用该算法实现频繁模式的挖掘和关联规则的发现，此经典算法的类接API可以嵌入到自己开发的应用程序中应用。-the complementation of Apriori algorithm using c#
k
- k mean algorithm implementation using random cluster centroid
K-Means
- matlab kmeans 程序说明与数据源代码-matlab kmeans source
crawler
- python 爬虫爬取http://accent.gmu.edu/网站上的音频文件-Using python crawler to scape data the George Mason University Department of English Speech Accent Archive.
k_clique
- [X,Y,Z] = k_clique(k,A) Inputs: k - clique size A - adjacency matrix Outputs: X - detected communities Y - all cliques (i.e. complete subgraphs that are not parts of larger complete subgraphs) Z - k-clique matrix-k-clique alg
Locally-Line-Regress
- 《斯坦福公开课》局部线性回归算法（PS1）。-Locally Line Regress
禁忌搜索解决tsp问题
- 使用matlab应用禁忌搜索解决tsp问题，算法齐全，本人使用没有任何问题。
POETR
- 此为POET的R语言源代码程序，目的是为实现最大方差估计-Large Covariance Estimation by Thresholding Principal Orthogonal Complements
kmeans
- k均值聚类方法。 在给定一个有n个对象的数据集，划分聚类技术将构造数据进行k个划分，每一个划分代表一个簇，k小于等于n。-k-means clustering method. Given a set of n objects data, dividing the data clustering techniques to construct k partitions, each partition represents a cluster, k less than or equal n.
Kmean
- k-mean聚类算法。最简实现，全部做了中文注释-K-mean clustering algorithm. The simplest implementation, all done in Chinese Notes
pachong
- 汽车网站的爬虫，是一种按照一定的规则,自动地抓取万维网信息的程序或者脚本。另-Car web crawler
LDA
- LDA是监督式的降维算法，输入时需要为每一个数据打上标签信息。最多可以降到n-1维（n为数据点个数）-LDA Algorithm is used to realize dimensionality reduction. It can be used in the amount of projects such as face recognition.