搜索资源列表
FCM
- 一个模糊C均值聚类算法的matlab程序。程序中自带数据生成函数。(A fuzzy C means clustering algorithm matlab program. Program comes with data generation function.)
fuzzykernal
- 模糊聚类分析计算， 利用MATLAB完成的模糊聚类算法，功能非常强大(Fuzzy cluster calculation)
fcm
- 使用matlab实现C均值聚类算法 的代码(Using MATLAB to implement C means clustering)
44016686kmedoids
- matlab 例程，很简单的且很容易理解的k-medoids聚类算法源代码(Matlab routines, very simple and easy to understand k-medoids clustering algorithm source code)
matlab 蚁群算法ACO_feature_selection
- 蚁群算法用与特征选择，针对传统蚁群聚类算法收敛速度过慢的问题，提出一种对蚁群算法进行改进的聚类算法。而数据的高维使数据具有稀疏、不可聚集等特性，使聚类算法实验效果精度低和耗时大，将邻域特征选择与聚类算法结合，提出了一种蚁群聚类优化的邻域特征选择算法(Ant colony algorithm and feature selection)
MSjulei
- 聚类算法matlab语句，简单聚类，形成分类树(Clustering algorithm matlab statements, simple clustering, classification tree)
Spectral_ClusteringNJW
- 谱聚类能够识别任意形状的样本空间且收敛于全局最优解，其基本思想是利用样本数据相似矩阵的进行特征分解后得到的特征向量进行聚类，程序进行了几种不同聚类算法的比较，包括Q矩阵聚类，kmeans聚类，第一特征分量聚类，第二广义特征分量聚类，公用数据生成和近邻矩阵生成(Spectral clustering can distinguish arbitrary sample space and converge to the global optimal solution, the basic idea i
k-means-matlab
- 利用k-means算法实现二维平面点的聚类，包括了运行源代码和结果图(The k-means algorithm is used to realize the clustering of two-dimensional plane points, including the running source code and the result graph)
CFSFDP-matlab
- 密度峰值聚类算法源码+测试数据(人工+UCI)(Source Code and datasets of CFSFDP Algorithm)
81801236k.matlab
- 利用matlab实现k均值聚类算法，亲自调试通过，对于学习k均值聚类算法有很大帮助(Using MATLAB to achieve K means clustering algorithm, personally debugging through, for learning K mean clustering algorithm is very helpful)
Experiment Three
- matlab的聚类算法实现图像分割,效果很好(Image segmentation by clustering in matlab)
Kmeans
- 一个matlab的kmeans聚类算法代码，输入聚类数据和类簇数，输出分好类的数据(A matlab kmeans clustering algorithm code, input cluster data and cluster number, the output of the good class of data)
spectral_clustering_cogs118b-master
- matlab编写实现聚类算法，机器学习经典算法，仅供参考(Matlab to implement clustering algorithm, machine learning classical algorithm, for reference only)
MyFcm
- 这个是一个较为优化的模糊聚类算法，能对内部均衡有些效果(This is a more optimized fuzzy clustering algorithm that can have some effect on internal equilibrium.)
K-means
- 利用MATLAB实现K均值聚类算法，加深对该算法的理解。(We use MATLAB to achieve K mean clustering algorithm to deepen our understanding of the algorithm.)
cluster
- 对一个随机生成100个0到100的点，实现k=2的聚类划分(Clustering and partitioning of k=2)
87361043sparse-subspace-clustering
- SSC经典的稀疏子空间聚类算法，matlab代码，可用于图像分割，图像识别等(SSC based matlab,can be used for image segmentation,image recognization and so on)
testDBSCAM_matlab
- 给出基于密度的聚类之DBScan算法的具体思想和Matlab实现步骤(The idea of DBScan algorithm based on density clustering and the steps of Matlab are given)
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
2b509aabc32f4a3be87b452a94226f45
- 结合模糊C均值聚类算法与水平集方法的图像分割代码，分割效果良好。(The image segmentation code based on fuzzy c-means clustering algorithm and level set method has a good segmentation effect.)