搜索资源列表
k-meansjava.rar
- 用JAVA语言实现的经典聚类算法k-means,聚类与分类不同,它是无监督的过程,,JAVA language used to achieve a classic clustering algorithm k-means, clustering and classification of different, it is the unsupervised process,
apcluster.rar
- 比较好的数据聚类算法,与2007年发表于science上,其最大的优点就是计算效率很高,同时不需要预先设定聚类数目,the main advantage of this clustering method is its computational efficiency, and the number of exemplars does not have to be prespecified.
mohujulei.rar
- matlab模糊聚类算法进行图像分割的源程序,matlab fuzzy clustering algorithm for image segmentation source code
sift_0_9.rar
- sift算法0.9版;对数据进行提取后聚类;采用聚类算法k-means,sift algorithm version 0.9 right after extracting the data clustering using k-means clustering algorithm
AP_Clustering
- AP聚类方法,是08年发表在“科学”上的聚类方法,本人从图像图像方面研究近十年,这是我所见过最好的聚类算法,本程序提供聚类演示,还把它用图像分割试验(matlab7.0环境调试)。-AP clustering method, is 08 published in " Science" on the clustering method, the image from the image in my research in recent years, this is the bes
WawaTextCluster
- 文本聚类算法源码-Source text clustering algorithm
PSO_K
- 毕设题目,基于K均值的PSO聚类算法,共享了。-Bi-based topic of the PSO-based K-means clustering algorithm, shared.
demo
- 实现数据挖掘的几个算法,包括模糊聚类,K均值,以及K近邻等聚类算法-Some of the implementation of data mining algorithms, including fuzzy clustering, K-means, as well as neighbors, such as clustering algorithm K
聚类的matlab程序
- k-means聚类算法的matlab程序大全
聚类的matlab程序
- k-means聚类算法的matlab程序。
K-means_clustering_demo
- K-均值聚类算法 vc++图形演示程序-K-means clustering algorithm c++ demo program
kmeans
- kmeans文本聚类算法的简单实现,是用JAVA实现的-kmeans a simple realization of the text clustering algorithm is implemented using JAVA
GAFCM
- 遗传算法改进的模糊C-均值聚类MATLAB源码 模糊C-均值算法容易收敛于局部极小点,为了克服该缺点,将遗传算法应用于模糊C-均值算法(FCM)的优化计算中,由遗传算法得到初始聚类中心,再使用标准的模糊C-均值聚类算法得到最优分类结果。 -Value algorithm (FCM) of the optimization calculations, by the genetic algorithm is the initial cluster centers, and the
数据挖掘c++代码
- 包括关联 聚类 神经网络 遗传算法
textFCM
- 应用FCM(模糊c均值聚类)算法到文本聚类 采用两种方法计算文本相似度 采用ShootSeg分词 采用sogou互联网词库简化特征值计算-err
fcm
- 很好的模糊聚类算法 用MATLAB编写的-Good fuzzy clustering algorithm using MATLAB prepared
MaxAndMinCluster
- 最大最小距离 聚类算法,可以对一维或者二维信号进行聚类分析。尤其是两类化情况较好时。-maxmum and minimum Cluster Algorithm
KMeansClusterConsole
- K均值聚类算法,取前k个点为初始聚类中心,然后进行迭代聚类-K means clustering algorithm, fetch the first k points as initial cluster centers, then the iterative clustering
kmeans
- 基本的数据聚类算法,可以进行快速有效的数据聚类,可以有效地进行数据挖掘-Basic data clustering algorithm, can be fast and effective data clustering, data mining can be effectively
fcma
- 模糊聚类算法的实现,用c语言实现,有测试内容,附有测试文件-The realization of fuzzy clustering algorithm, using c language implementation, there are contents of the tests with a test file