搜索资源列表
DATA
- 文本聚类分类数据集 包括20newsgroup 和retuers 中抽取的500条数据,有四个表-Text clustering and classification of data sets including 20newsgroup retuers 500 extracted data, there are four tables
datamining
- 数据挖掘实例,实现聚类分析,里面自带数据库,所以很方面,下来就可用.-Cluster Analysis example data mining english version high score a b c d e f
kmeans
- 用vc++写的聚类算法 用的机器学习网站的是数据集 经典的-kmeans
juleifenxi
- 聚类分析 计算x中两两之间的欧氏距离 Road Thunder of calculating x in 22 Euclidean distance between-Road Thunder of calculating x in 22 Euclidean distance between
attributes
- SAS Enterprise Miner”进行聚类分析-SAS Enterprise Miner " cluster analysis
FuzzyCluster
- 模糊聚类算法VC++实现，是学习模糊聚类的帮手-Fuzzy clustering algorithm VC++ Implementation
shujuwajue
- 数据挖掘的方法，包括聚类算法，多维数组分析和数据挖掘模型的设计和实现-Data mining methods, including clustering, multi-dimensional array of analysis and data mining models in the design and implementation
DataReduction
- 流数据聚类算法SSDClustream,与Clustream算法进行比较，SSDClustream在处理感知数据时其结果分布性较好，聚类质量较高-Flow data clustering algorithm SSDClustream
HCM
- 模糊聚类算法，非常好用的哦，既喜欢的话来下下吧，谢谢支持-Fuzzy clustering algorithm
kmeans
- matlab机器学习中用于聚类，适用于样本数量相对较少的情况。-matlab machine learning for clustering, applies to a relatively small number of samples.
illimine-1.1.1
- 数据挖掘算法 包括分类、聚类等等，文件中有详细的说明文件-Data mining algorithms, including classification, clustering, etc., the paper detailed the documentation
K-Means
- 数据挖掘中的K-均值聚类算法，java语言实现。 可直接编译运行-Data Mining K-means clustering algorithm, java language.
malletTest
- mallet测试代码， 非常优秀的自然语言处理工具包，基于Java编写，可以进行文本分类，聚类等功能，并且支持加入自定义的算法，其中有众多的ＡＰＩ接口，有着很好的研究和实用价值。-mallet test code, very good natural language processing toolkit based on Java, you can text classification, clustering and other functions, and supports adding
cluster
- mahout的聚类算法，采用了路透社的预料文本，出自《mahout in action》一书。-Mahout clustering algorithm
c
- 用于labview的数据采集然后对其进行聚类处理-Data collection for labview then subjected to clustering
DensityClust [Matlab 1.2]
- 采用密度的聚类算法,,聚类程序有两个，采用不同的K值进行计算(Using the density clustering algorithm, there are two clustering programs, which are calculated with different K values.)