搜索资源列表
bianyaqi
- 采用模糊聚类法,对变压器的故障诊断,并且分析各种气体含量。-The fuzzy clustering method, on the transformer fault diagnosis, and analysis of various gases.
matlab_mohujulei
- matlab模糊聚类算法进行图像分割的源程序-tuxiangfenge
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.
C_FCM
- 用C均值聚类方法实现图像分割,matlab实现,包含实验报告-C means clustering method used to achieve image segmentation, matlab implementation, including test reports
kmeans
- 基于matlab的K-means聚类算法的实现以及二维随机点的聚类结果-Matlab-based K-means clustering algorithm
fcm
- 采用模糊c均值聚类算法用以实现对图像的分割,以利于人们的研究处理-Fuzzy c
KMEANS
- 基于MATLAB的kmeans聚类分析,包含数据和源代码,-MATLAB-based kmeans cluster analysis, including data and source code,
35738614FCM
- 模糊聚类程序,matlab编写。能很好实现聚类操作-Fuzzy clustering procedure, matlab write. Clustering in operation well
dbscan
- DBSCAN算法的matlab 实现。。基于密度的聚类算法-DBSCAN algorithm matlab implementation. . Density-based clustering algorithm. . .
FUZZCLUST
- 模糊聚类的matlab工具箱。。。内含说明文档-Fuzzy clustering matlab toolbox. . . Includes documentation
F_JISjBzh.m
- 模糊数学方法及其应用 模糊 聚类分析 数据标准化变换-matlab fuzz
midu
- matlab的一种基于密度的聚类方法,和划分方法和中心计算方法比较效果较好-matlab a density-based clustering method, and the division method and the calculation of comparative effectiveness center is better
commonclusteringarilothm.ZIP
- 常好的聚类工具包,用Matlab开发,适合于科研用途等.ZIP-CLUSTERING
mohujulei
- 模糊聚类方法,用相关系数法构造模糊相似关系矩阵r,构造了模糊等价评判矩阵,为了方便下载者使用,把代码进行了优化,可直接把矩阵带进去使用。-Fuzzy clustering method, using the correlation coefficient method to construct the fuzzy similarity relation matrix r, construct a fuzzy equivalence evaluation matrix, in order to f
1
- 利用Matlab和SPSS软件实现聚类分析.运用Matlab中的一些基本矩阵计算方法,通过自己编程实现聚类算法-Matlab and SPSS software using cluster analysis. The use of Matlab, some of the fundamental matrix method, clustering algorithms, through their own programming
1
- 关于PSO优化后文本聚类的算法--MATLAB-Text on the PSO clustering algorithm optimized- MATLAB
gabork-means
- 该方法采用gabor提取纹理特征,最后采用k-means方法聚类进行图像分割-The method uses gabor texture features extraction, and finally using k-means clustering methods for image segmentation
b
- :DBSCAN是一个基于密度的聚类算法。该算法将具有足够高密度的区域划分为簇,并可以在带有“噪声”的空间数 据库中发现任意形状的聚类。但DtLqCAN算法没有考虑非空间属性,且DBSCAN算法需扫描空间数据库中每个点的e一 邻域来寻找聚类,这使得DBSCAN算法的应用受到了一定的局限。文中提出了一种基于DBSCAN的算法,可以处理非空 间属性,同时又可以加快聚类的速度。-: DBSCAN is a density-based clustering algorithm. The alg
K-means
- 均值为K的聚类算法,是一种对聚类数据进行的最简单的算法,广泛应用在各种场合中。-K mean clustering algorithm for clustering data is the most simple algorithm, widely used in various occasions.
clus
- 极小化误差平方和算法聚类源代码,下载后直接运行就可以了-Minimizing the error sum of squares clustering algorithm source code can be run directly after downloading the