搜索资源列表
KMEANS(matlab)
- Matlab环境下的k-means聚类算法，实现图像分割，很快阿！-K-means Clustering arithmetic based on Matlab platform.It s fast for Image-Division!
matlab作业
- 模式识别一份很好的作业,包括线性分类器；最小风险贝叶斯分类器；监督学习法分层聚类分析；K－L变换提取有效特征,支持向量机-a very good operation, including linear classification; Minimum risk Bayesian classifier; Supervised learning method Hierarchical clustering analysis; K-L transform effective features, supp
clustering
- matlab聚类分析工具箱，很好用。大家可以试一试-Matlab Toolbox cluster analysis, is useful. We can try
SVC-MATLAB
- 这个是支持向量聚类机用matlab编译的主程序和部分子程序-this is clustering support vector machine Matlab Compiler part of the main program and subprogram
greycluster
- 災色統計聚類的matlab源碼，可用來進行統計分析，計算白化與灰化的情況-disaster color clustering Matlab statistical source, which can be used for statistical analysis, computation and whitening of the ash
clustering
- 将Weka数据挖掘工具所产生的K-MEANS和DBSCAN结果转化成MATLAB可输出三维图像的格式
fcm.ZIP
- 模糊C均值聚类的MATLAB实现，其中包含了10个MATLAB函数-Fuzzy C - Means clustering MATLAB, which contains 10 MATLAB function
K-均值聚类算法
- K-均值聚类算法，对数据进行聚类分析，可用于提取关键帧等。用matlab实现,K-means clustering algorithm, cluster analysis of data that can be used, such as key frame extraction. Using matlab to achieve
project
- k means clustering source code matlab
case_1
- flow clustering matlab code
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 Clustering menggunakan Matlab
- knn image recognition for matlab code
Density-ratio-based-clustering-master
- 相比其他的聚类方法，基于密度的聚类方法可以在有噪音的数据中发现各种形状和各种大小的簇。DBSCAN（Ester, 1996）是该类方法中最典型的代表算法之一（DBSCAN获得2014 SIGKDD Test of Time Award）。其核心思想就是先发现密度较高的点，然后把相近的高密度点逐步都连成一片，进而生成各种簇(Compared with other clustering methods, the density based clustering method can find var
DBSCAN
- 可以运行的DBSCAN密度聚类matlab代码(DBSCAN density clustering matlab code, matlab)
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
matlab实现Kmeans聚类算法
- matlab实现Kmeans聚类算法，非常详细。(The algorithm is designed to test the MATLAB clustering algorithm and is very useful.)
04657872GAFCM
- 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。(Improved genetic algorithm and fuzzy C- means clustering MATLAB source. The fuzzy C- means algorithm is easy to converge to local m
Statistics Code by Matlab
- 包含一元线性回归分析、多元线性回归分析、逐步回归分析、非线性回归分析、主成分分析、因子分析、层次聚类分析、判别分析、自相关分析和自回归分析的全套Matlab源代码(MATLAB source code including linear regression analysis, multiple linear regression analysis, stepwise regression analysis, non-linear regression analysis, principal co
matlab代码
- Matlab代码，根据算法原理自己编写的基本算法的代码，有：KNN，层次聚类，C均值，最邻近算法。包括自己挑选的数据集，对算法准确率的测试。(Matlab code, the code of the basic algorithm written by itself according to the algorithm principle, there are: KNN, hierarchical clustering, C-means, nearest neighbor algorithm.
DBSCAN算法Matlab实现
- 基于密度的聚类算法 它将簇定义为密度相连的点的最大集合，能够把具有足够高密度的区域划分为簇，并可在噪声的空间数据库中发现任意形状的聚类(Density based clustering algorithm It defines the cluster as the largest set of density connected points, and can divide the region with enough high density into clusters, and can f