搜索资源列表
C-mean
- 模糊C均值算法的m文件带自己的解释,希望能给大家一点学习上的帮助。 -fuzzy c-means algorithm m document with its own interpretation, in the hope of giving the public a little bit of learning assistance.
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.
KFCMClust
- 采用模糊C均值对数据集data聚为cluster_n类-Fuzzy C mean data on the data sets together to cluster_n class
fuzzycm
- 采用模糊C均值聚类方法,能够对样本进行很好的分类,很好用-Fuzzy C means clustering method, the sample can be well classified, very good use
Fuzzy-C-means-clustering
- 模糊C均值聚类算法的C++实现代码模糊C均值聚类算法的C++实现代码-Fuzzy C means clustering algorithm C++ implementation code fuzzy C means clustering algorithm C++ implementation code
fcm
- 模糊C-均值聚类方法的原函数,不用再进行编写,直接可以哄-the function of FUZZY C CLUSTERING
FuzzyCM
- 一个包含多个matlab文件的工具包,利用它可以方便使用模糊c均值聚类-Matlab file contains more than one kit, using it can easily use the fuzzy c means clustering
C-means-clustering-algorithm
- 利用C++实现C均值聚类算法。模糊c均值聚类算法因算法简单收敛速度快且能处理大数据集,解决问题范围广,易于应用计算机实现等特点受到了越来越多人的关注,并应用于各个领域。-C means clustering algorithm in C++
Fuzzy-C
- 模糊C均值聚类算法的步骤还是比较简单的,模糊C均值聚类(FCM),即众所周知的模糊ISODATA,是用隶属度确定每个数据点属于某个聚类的程度的一种聚类算法。-Fuzzy C-means clustering algorithm is relatively simple steps, fuzzy C-means clustering (FCM), known as fuzzy ISODATA, is used to determine the membership of each data poi
C-Means-clustering-code
- 模糊C均值模式识别聚类算法相关的C++源程序代码-Fuzzy C-means clustering algorithm of pattern recognition related to the C source code
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
- 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.
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
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.)
FCM
- 实现模糊c均值聚类 全套的matlab代码(Implementation of fuzzy C means clustering)
FCM
- 使用模糊C均值聚类(FCM)的方法对状态进行分类,其优点首先是可以根据实际情况自动确定聚类中心,减少人工干涉的因素,其次,对状态特征参数不是进行硬分类,而是通过隶属度的表征方式对其聚类,更加符合现实状态类别之间不具备明显界限的实际问题。(The use of fuzzy C mean clustering (FCM) method to classify the state, its advantage is first can automatically determine the clust
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,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
neural networks
- 1.elman神经网络对输入波形进行检测 2.设计具有3个神经元的Hopfield网络 3.建立自适应神经模糊推理系统对非线性函数进行逼近(正弦加滞后) 4.建立自适应神经模糊推理系统对非线性函数进行逼近(正弦多项式) 5.利用模糊C均值聚类方法将一类随机给定的三维数据分为三类(1.Detection of input waveform by elman neural network 2. design a Hopfield network with 3 neurons 3. est
模拟退火和模糊C均值分类
- 遗传模拟优化初始聚类中心,模糊C均值聚类(Genetic algorithm is used to optimize initial clustering centers and fuzzy C means clustering.)