搜索资源列表
Cmean
- C均值聚类算法 ,采用修改后的聚类方法,快速的修改聚类中心,减少计算量-C mean
KMEANS
- k均值算法,C++文件,读入txt文件的方式实现-k means algorithm, C++ files, read txt file means to achieve
Cmeans
- C均值聚类算法 用于实现不确定数据的聚类-c-mean
c-means-algorithm
- 熟悉c均值算法,通过程序语言实现该算法,比较每个聚类的初始均值不同时,算法结果的差别。理解动态聚类算法的算法思想-Familiar with the c means algorithm, the algorithm realized by programming language, compare the initial mean of each cluster is not the same time, the difference between algorithm results. Dyn
c-means-algorithm
- c均值算法的实现,使用c均值算法对一组三位数据进行聚类,给出了测试的类别数目和初始值。-c-means algorithm, using the c-means algorithm on a set of three data clustering, given the number of categories and initial value of the test.
C-Means
- 改程序为模式识别常用的C均值算法,可以对样本进行分类。-It s a pragram of C-Means, which is popular among Pattern Recoginization.
fuzzy-c-means-algorithm
- 模式识别中的模糊c均值算法,详细易懂,适合于用于matlab模式识别编程参考-Pattern recognition, fuzzy c-means algorithm, detailed and easy to understand
c-junzhi
- c均值算法的实验目的,实验原理,过程心得等等。-c-means algorithm principle ideas of the purpose of the experiment
c
- 模式识别以3类为例对C均值和模糊C均值算法进行matlab仿真实验。-Pattern recognition in three categories, for example C-Means and fuzzy C-means algorithm matlab simulation experiments.
c-means-algorithm
- C均值算法的实现,这是我正在学习的C均值算法的实习代码,分享给大家,不当之处,欢迎指正-C-means algorithm, which I am learning C-means algorithm internship code for everyone to share, inappropriate, please correct me
自适应模糊C均值聚类
- 提供一种改进的模糊C均值聚类算法,该算法可以更好的提高聚类的精度
improved-fuzzy-c-means-clustering
- 该算法引入遗传算法对模糊c均值算法进行改进,并在iris数据集中进行实验验证,得到很高的正确率。-The algorithm genetic algorithm fuzzy c-means algorithm is improved, and focus on experiments in the iris data to obtain a high accuracy.
fuzzy-c
- 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。-Fuzzy C- means algorithm is easy to converge to a local minimum, in order to overcome this drawback, the genetic algorithm is applied to the fuzzy C- means
FCM聚类算法介绍
- FCM聚类算法介绍 FCM算法是一种基于划分的聚类算法,它的思想就是使得被划分到同一簇的对象之间相似度最大,而不同簇之间的相似度最小。 模糊C均值算法是普通C均值算法的改进,普通C均值算法对于数据的划分是硬性的,而FCM则是一种柔性的模糊划分。在介绍FCM具体算法之前我们先介绍一些模糊集合的基本知识。
fcm
- 使用matlab实现C均值聚类算法 的代码(Using MATLAB to implement C means clustering)
KFCM-master
- 基于核方法的模糊C均值聚类,考虑到空间数据之间的相关性,结合各点的邻域信息,在原代码中添加邻域信息:(The fuzzy C mean clustering based on kernel method, considering the correlation of spatial data and combining the neighborhood information of each point, adding neighborhood information to the origin
FCMCluster
- 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 clustering algorithm fuzzy c-means algorithm (FCMA) or FCM. Among the many fuzzy clustering a
fcm算法解释
- 包含基于matlab的粗糙模糊c均值算法实现及相关解释说明(Include matlab based programs and instructions)
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
BCFCM2D
- 偏移场矫正模糊c-均值算法的matlab代码实现。运用于通向分割及偏移场估计。(bias filed corrected)