搜索资源列表
FCM_HCM_2
- 这个程序简单实用，提供以模糊聚类程序供您使用-This procedure is simple and practical to provide fuzzy clustering procedure for you to use
cluster
- k均值聚类算法源码（matlab） k均值聚类算法源码（matlab）-k-means clustering algorithm source code (matlab) k-means clustering algorithm source code (matlab)
FCM
- vc++环境下，实现基于FCM的模糊聚类算法。-vc++ environment, FCM-based fuzzy clustering algorithm.
growcut
- 对图形图像进行切割的算法，此算法还可以用与聚类-Graphic images of cutting algorithms, this algorithm can be used with clustering
K-Means
- 较简单的KMeans聚类算法实现，编程语言matlab-Clustering KMeans relatively simple algorithm, programming language matlab
K_average
- k均值聚类或者成为均值聚类，用于对各个数据进行分类-k-means clustering or a means clustering for the classification of the various data
methods_of_classification
- 这里和大家分享的几种基础的分类方法，其中包括判别聚类分析、人工神经网络、主成分分析等-Here and to share the basis of several classification methods, including discriminant cluster analysis, artificial neural networks, principal component analysis
DBSCAN
- Form1.cs是应用聚类算法DBSCAN (Density-Based Spatical Clustering of Application with Noise)的示例，可以通过两个参数EPS和MinPts调节聚类。 DBSCAN.cs是实现文件，聚类算法的进一步信息请参考“数据挖掘”或者相关书籍 聚类示例数据来自于sxdb.mdb，一个Access数据库-Form1.cs is the application of clustering algorithm DBSCAN (Dens
QVCS-Enterprise2.1.11
- 图像数据的模糊聚类分析，图像识别、图像分割，包含FCM算法。-Image data of the fuzzy cluster analysis, image recognition, image segmentation, including the FCM algorithm.
yuanma
- 压缩包包含四种聚类算法源代码及示例代码，供大家学习使用-Compressed packet contains four clustering algorithm source code and sample code for using the U.S. study
FCMSegmentation
- FCM 模糊C均值聚类算法。使用说明：这是一个可以人机交互的FCM算法，首先使用鼠标圈定一个矩形区域，则算法自动施加于目标区域:) Have Fun :)-FCM fuzzy C means clustering algorithm. Usage: This is a can of HCI FCM algorithm, the first to use the mouse a rectangular area delineation, the algorithm automatically im
Collaborativefuzzyclusteringmodel
- 协同模糊聚类建模通过特征选择和协同模糊聚类的模糊建模方法构建T-S模型，并用此模型对数据进行测试。-Collaborative fuzzy clustering modeling and collaboration through the feature selection fuzzy clustering TS fuzzy modeling method to build models and use this model of data for testing.
minipro
- 聚类算法研究，集合了多种聚类算法，并在一个系统中实现-Clustering Algorithm
12358964fcmdemo
- 是遗传聚类的demo，参照自己的数据对程序进行小小的改编即可，使用简单方便。-Are genetic clustering demo, with reference to its own data on the procedure can be little adaptation, the use of easy and convenient.
Ccluster
- 一种基于matlab语言编程实现的数据聚类算法，可以实现数据的快速聚类。-A programming language based on the matlab implementation of the data clustering algorithm, can achieve data clustering Express.
image
- 基于matlab语言程序，通过聚类分析对数码图像进行处理。-Matlab-based language program, through cluster analysis of digital images for processing.
kcluster
- 一种基于软划分方法的聚类方法——模糊k均值法聚类分析。-A division of methods based on soft clustering method- fuzzy k-means cluster analysis.
FCM
- 模糊C-均值（FCM）聚类算法，用MATLAB程序编写。-FCM clustering algorithm
moshishibie
- 先用C-均值聚类算法程序，并用下列数据进行聚类分析。在确认编程正确后，采用蔡云龙书的附录B中表1的Iris数据进行聚类。然后使用近邻法的快速算法找出待分样本X（设X样本的4个分量x1=x2=x3=x4=6；子集数l=3）的最近邻节点和3-近邻节点及X与它们之间的距离。-First C-means clustering algorithm procedures and with the following data for cluster analysis. After confirming t
unsupervisedClassification
- 非监督分类程序，MATLAB环境，采用K均值算法，通过初始聚类中心逐次迭代而得到所要分类，并输出分类后的图像。-Non-supervised classification procedures, MATLAB environment, using K-means algorithm, the initial cluster center through successive iterations to be classified, and the output classification im