搜索资源列表
KECA
- Kernel Entropy Component Analysis,KECA方法的作者R. Jenssen自己写的MATLAB代码，文章发表在2010年5月的IEEE TPAMI上面-Kernel Entropy Component Analysis, by R. Jenssen, published in IEEE TPAMI 2010. We introduce kernel entropy component analysis (kernel ECA) as a new method
File3
- 数据挖掘，聚类，遗传算法，k-means算法，基于遗传算法的k-means聚类方法。-Data mining, clustering, genetic algorithm, k-means algorithm, based on genetic algorithm k-means clustering method.
SingleLinkExample
- Single linkage clustering algorithm
1
- 模式识别分层聚类、k—均值算法，支持向量机、线性判别、判别代码、ppt-Pattern recognition hierarchical clustering, k-means algorithm, support vector machines, linear discriminant, discriminant code, ppt
K_mean_clustering
- k-mean clustering Matlab M-file
008
- 文对模糊C．均值(FCM)聚类算法的一种改进算法一特征加权的 FCM(WFCM)聚类算法，与FCM算法进行了测试比较。-Paper on fuzzy C. Mean (FCM) clustering algorithm An improved algorithm for a feature weighted FCM (WFCM) clustering algorithm, FCM algorithm was tested with the comparison.
C_PS_matlab
- 粒子群聚类算法：改进原有PSO算法，加速收敛迭代达到全局最优点-Particle clustering algorithms: the original PSO algorithm to improve and accelerate convergence to the global optimal point iteration
kfcm
- 基于核的FCM，可以用于聚类或者图像分割，但运行速度不是很快 自己不知道如何优化-Kernel-based FCM, can be used for clustering or image segmentation, but the speed is not fast they do not know how to optimize
845
- 对电路板的图像进行分割，可以提取电路板中的目标物，以对电路板进行检测。文章使用K均值聚类算法完成对电路板图像的分割，针对传统的K均值聚类算法的不足，提出了使用直方图波形的有效波峰个数来确定K值的大小，并通过使用一种比传统的绝对误差的表示更简洁的表达式，达到了快速分割的目的。对一些电路板图像分割的实验结果表明，文章的方法能够根据目标物的数目有效的确定K值的大小，且比传统的K均值算法减少了运算量及计算时间。-On the circuit board image segmentation, to ex
matlab
- 这是一些文本聚类的matlab函数，是遗传算法过程中的一些常用函数-This is some text clustering matlab function, genetic algorithm is the process of some of the commonly used functions
cvkmeans2
- good example about kmean clustering in csharp opencv
Salama
- 改进的Salama网络拓扑随机生成算法通用Matlab程序，在随机抛撒节点的时候使用了K均值聚类，网络节点分布均匀且疏密得当，边的分布也比较均衡。-Improved algorithm for randomly generated network topology Salama General Matlab program, when the nodes in the random throw using K means clustering, the network node density
roughandfuzzy
- 模糊聚类和粗糙集关于web聚类很好的文章-Fuzzy Clustering and Rough Set Clustering good article on the web
ashu
- this rar contain the graphical demonstration of boolean operations on fuzzy sets, the discr iption of fuzzy set and the c source code for fcm clustering algorithm.
code
- 用java实现的基于网格的聚类算法，是聚类算法中的经典-Achieved with a java-based grid clustering algorithm is a classical clustering algorithm
Hierarchical
- 用vs实现的层次聚类分析，是基于距离的算法，-Achieved with vs hierarchical clustering analysis algorithm based on distance,
DocumentSet_rar
- files that are very useful as data sets for document clustering.. i have done project based on these document sets for my pg degr-files that are very useful as data sets for document clustering.. i have done project based on these document sets for m
KmeansVsAffinity
- MS WORD document describing & comparing k means clustering and affinity propagation
FCM
- 采用不同算法编的一些模糊C-均值聚类（FCM）的matlab程序。-Compiled using a number of different algorithms of fuzzy C-means clustering (FCM) in the matlab program.
clustering
- information about clustering alg.