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遗传算法应用于模糊C均值聚类
- 将遗传算法应用于模糊C均值聚类,可以取得不错的效果(The application of genetic algorithm to fuzzy C mean clustering can achieve good results.)
FCM
- 实现灰度图像的模糊C均值聚类,并显示迭代次数和迭代结果(The fuzzy C mean clustering of gray image is realized, and the number of iterations and iterations are displayed.)
fuzzymath
- 模糊数学m文件合集,包含模糊聚类分析,模糊模式识别,模糊综合评判。(Fuzzy mathematics m file aggregation, including fuzzy clustering analysis, fuzzy pattern recognition, fuzzy comprehensive evaluation.)
fcm-master
- 利用MATLAB软件,实现了模糊聚类的计算,MATLAB的模糊聚类算法,(Using the MATLAB software, the fuzzy clustering calculation and the fuzzy clustering algorithm of MATLAB are realized.)
聚类算法
- 这是关于模糊算法中的聚类算法,对于研究聚类算法的有一定研究参考价值。(This is a clustering algorithm in fuzzy algorithm, which has a certain reference value for the study of clustering algorithm.)
cal_SC_Fuzzy_Partition
- 模糊聚类FCM 能够实现数据的分类与分组,确定聚类数,进行模糊划分(Fuzzy clustering FCM can achieve data classification and grouping, determine the number of clusters, fuzzy partition)
iris
- 对鸢尾花数据集进行模糊聚类,将模拟退火算法及遗传算法分别与模糊聚类算法结合,使聚类效果更好。(Fuzzy clustering of the Iris Dataset)
基于FCM聚类分析的交通判别算法研究
- 采用了欧氏距离和模糊算法两种方式进行了FCM聚类分析,利用FCM聚类分析解决了交通状况的判别算法,文件里面还有相关文献!(Using Euclidean distance and fuzzy algorithm, FCM clustering analysis is used to solve the traffic situation.)
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
2.2 图像分割技术
- 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。(The FCM algorithm is a partition-based clustering algorithm. Its idea is to make the similarity among the obj
iris_FCM
- 实现了模糊聚类算法,将数据聚为几类,有数据,可直接测试(Fuzzy clustering algorithm is implemented, and data can be aggregating into several classes. Data can be directly tested.)
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
matlab模糊聚类程序 动态聚类图程序
- 利用MATLAB做模糊聚类,并且画出系谱图(MATLAB fuzzy clustering dynamic graph)
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.)
用FCM实现分割
- 基于模糊C-均值聚类算法的图像分割,消除二值分割的非此即彼的缺陷(Image segmentation based on fuzzy C- means clustering algorithm eliminates the defects of two value segmentation.)
FCM聚类算法
- 基于矩阵模块化模糊聚类的图像分割,里面包括源代码,以及实验前后的图片(Image segmentation based on matrix modularized fuzzy clustering)
Color Reduction and Quantization
- Color Reduction and Quantization using k-Means, Fuzzy Clustering (FCM), and SOM Neuarl Network in MATLAB In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent c
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
FLICM_Matlab
- 利用FLICM算法进行图像聚类的matlab程序代码,相对于FCM(模糊C均值聚类)算法具有较强的抗噪能力。(FLICM image clustering algorithm matlab code, with respect to FCM algorithm (Fuzzy C-means Clustering) it has a strong anti-noise ability.)