搜索资源列表
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
FCM
- 模糊C-均值（FCM）聚类算法，用MATLAB程序编写。-FCM clustering algorithm
K_average
- matlab实现的k均值聚类算法，可以实现对大量数据的有效分类-matlab implementation of the k-means clustering algorithm, can achieve a large amount of data on an effective classification
FUZZCLUST
- matlab上实现的模糊聚类算法，相当有用，是一个聚类工具箱。-matlab on the fuzzy clustering algorithm to achieve very useful, is a cluster toolkit.
[matlab]
- 模糊核聚类算法的几篇论文及matlab源码，可以以练代学，更好掌握模糊聚类方法。-Fuzzy Kernel Clustering Algorithm matlab several papers and source code, can be practicing on behalf of science, to better grasp the fuzzy clustering method.
kmean_zmx_try
- k-means Cluster,kmean_zmx_try.rar,k均值聚类算法的matlab源代码-k-means Cluster,kmean_zmx_try.rar
FCM
- 实现了模糊聚类算法，能将N个样本分成C类（1《C《N）-Fuzzy C-means Clustering
FCM_Ju_lei_suan_fa
- 该文件包含了一般的FCM聚类算法和改进的FCM聚类算法-The document contains a general FCM clustering algorithm and the improved FCM clustering algorithm
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.
ClusteringToolbox1p0_Trail
- 聚类分析Matlab工具箱 Version1.0 Clustering Analysis Matlab Toolbox - Trial Version 1.0 ------------------------------------------------------------------------------ 1、该工具箱包括了常用的三种K-Means聚类分析和ISODATA聚类分析: ...\KMeans\Main_KMeans.m 标准 K-M
matlab模糊聚类算法
- 可以方便地实现聚类分析 实际运用时对主程序矩阵赋值即可
K-mean
- K-means算法是很典型的基于距离的聚类算法，采用距离作为相似性的评价指标，即认为两个对象的距离越近，其相似度就越大(K-means algorithm is a typical distance based clustering algorithm. The distance is used as the evaluation index of similarity, that is, the closer the distance between the two objects, the
dbscan_for_data_upload
- Matlab语言写的经典聚类算法DBSCAN(the classical algorithm DBSCAN in Matlab)
基于遗传模拟退火算法的聚类算法
- 基于遗传模拟退火算法实现数据的聚类，为后续的数据分析做准备(Data clustering analysis based on genetic simulated annealing algorithm)
MeanShiftCluster
- 该算法实现了均值漂移聚类算法，在MATLAB平台下有很好的结果验证(MeanShiift Cluster, it improves the performance than tradional cluster algorithm, such k-means cluster algorithm.)
模糊C均值算法
- 亲测，能实现模糊C均值聚类的MATLAB程序(MATLAB program that can realize fuzzy C mean clustering)
matlab编写的EM聚类算法
- em聚类算法，比较基础的算法，可自行改进(em clustering algorithm, more basic algorithm, self-improvement)
K-means
- 一种聚类算法：K-means聚类，实测绝对没有问题(A clustering algorithm: K-means clustering, no problem is absolutely no problem)
DensityClust [Matlab 1.2]
- 采用密度的聚类算法,,聚类程序有两个，采用不同的K值进行计算(Using the density clustering algorithm, there are two clustering programs, which are calculated with different K values.)
FCM,模糊C均值聚类的MATLAB实现[matlab]-FCM
- 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称（ FCM）。在众多模糊聚类算法中，模糊C-均值（ FCM） 算法应用最广泛且较成功，它通过优化目标函数得到每个样本点对所有类中心的隶属度，从而决定样本点的类属以达到自动对样本数据进行分类的目的。(Fuzzy c-means algorithm (FCMA) or FCM. Among many fuzzy clustering algorithms, the fuzzy C-means (FCM) algor