搜索资源列表
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
Fuzzy-Cluster-Analysis
- 利用VB来实现的模糊聚类分析,形象而且易懂。-The use of VB to achieve the fuzzy cluster analysis, image and easy to understand.
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
K-Means
- K均值聚类算法 C++实现的K均值聚类算法。-K means clustering algorithm C++ Achieved K-means clustering algorithm.
MATLAB
- 编写的粒子群(PSO)算法优化Kmeans聚类的MATLAB代码,MATLAB6.5/7.1测试通过,其它版本没测试。-(PSO)Kmeans MATLAB6.5/7.1
k-means-iris
- 针对著名的UCI机器学习数据库中的iris data的kmeans聚类分析程序,具有代表性-For the well-known UCI machine learning repository of the iris data of kmeans cluster analysis procedure, a representative
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
kmeanssource
- kmeans程序,用以各种方面聚类分析,诸如入侵检测和图像等。-kmeans method,used in many fields, such as intrusion detection, imag segmentation and etc.
NcutClustering
- 谱聚类和SVM相结合的图像分割程序,这是用matlab编的谱聚类程序,该方法能有效的用于数据分类。-This is a matlab procedures for the spectral clustering.The method is effective for data classification.
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_src
- java 语言编写的kmeans聚类算法源代码,非常有用。-BenchmarkedKMeans for java and BasicKMeans for java
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
Cluster_MeanShift
- 采用meanshift算法实现图像聚类,函数用matlab实现-clustering using Mean-shift
k-mean k均值聚类程序
- k均值聚类程序,虽然matlab中也有自带的,但是这个速度不错。-program for k means used for cluster
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.
最短距离聚类的matlab的实现
- 最短距离聚类的matlab的实现,最短距离聚类 %说明:此程序的优点在于每一步都是自己编写的,很少用matlab现成的指令, %所以更适合于初学者,有助于理解各种标准化方法和距离计算方法。 %程序包含了极差标准化(两种方法)、中心化、标准差标准化、总和标准化和极大值标准化等标准化方法, %以及绝对值距离、欧氏距离、明科夫斯基距离和切比雪夫距离等距离计算方法。
aa
- 层次聚类算法的c++实现,输入分类个数,可以得到相应的分类结果-Hierarchical clustering algorithm to achieve the c++, enter the classification number, you can get the classification results
Cmeanvalue
- 基于背景差分算法和C均值聚类算法的车辆检测与跟踪-Based on background difference algorithm and C means clustering algorithm for detecting and tracking vehicles