搜索资源列表
travailenmat
- matlab programming for clustering pam , k-means , dbscan , optics for image segmentation
聚类K-Medoids算法
- 聚类K-Medoids算法。文件里面包含了详细的程序说明和示例。-K-Medoids clustering algorithm.The file contains a detailed descr iption of the procedures and examples.
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.
11912900SpectralClustering
- 谱聚类算法进行图像分割，该算法应用MATLAB运行。-Spectral clustering algorithm for image segmentation, the algorithm is applied to run MATLAB.
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
FCM(1)
- 这是我们的数字图像处理的大作业，用模糊聚类的方法做的图像分割，希望对大家有用，谢谢！-This is our large digital image processing operations, with the fuzzy clustering method to do image segmentation, hope for all of us, thank you!
Segmentation
- 聚类PPT,包括五种算法，和几种软件的实现。实用。-Clustering PPT, including the five algorithms, and several software implementations. Practical.
Clustering_Coefficient
- 根据邻接矩阵，计算复杂网络中模块的聚类系数。-According to the adjacency matrix, the computational complexity of the network module clustering coefficients.
get_clustering_coefficient
- 通过邻接矩阵，计算网络的聚类系数。聚类系数是复杂网络中一个重要参量。 -Through the adjacency matrix, computing networks, clustering coefficient. Clustering coefficient is a complex network, an important parameter.
MATLAB(M)
- 智能控制理论算法实现：层次聚类，hopfield网络和遗传传算法优化三个源代码文件-Intelligent control theory algorithms: hierarchical clustering, hopfield network and genetic algorithm optimization three source codes
fcm
- 很好的模糊聚类算法 用MATLAB编写的-Good fuzzy clustering algorithm using MATLAB prepared
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
kMean
- clustering的经典k-mean算法源程序，VB代码-clustering k-mean algorithm, in VB
kmean
- 包括K-均值聚类算法的思想介绍，kmeans的MATLAB代码，c语言代码、c++代码。-Including the K-means clustering algorithm introduced the idea, kmeans of MATLAB code, c language code, c++ code.
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
KMeans
- 用java实现的k means算法，搞过数据挖掘的人应该都知道的~-k means algorithm implement in java, the basic method of clustering in data mining
Cluster_MeanShift
- 采用meanshift算法实现图像聚类，函数用matlab实现-clustering using Mean-shift
apcluster
- 无监督聚类算法,能够自动聚类,不必预先给出类数,聚类精度好于常用的聚类算法.-Unsupervised clustering algorithm, can automatically cluster, do not have to give in advance the number of categories, clustering accuracy of better than commonly used clustering algorithm.
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
Kmeans_FCM
- java写的模糊c均值聚类算法和k均值聚类算法-fuzzy c means clustering algorithm and K means cluster in java