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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.)
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.)
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.)
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
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.)
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.)
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.)
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.)
模糊模型识别法
- 模糊模型识别法对数据进行聚类分析,部分参考代码(Fuzzy model recognition method for data clustering analysis, part of the reference code)
模糊C均值聚类
- 该程序可以实现快速的点云的模糊C均值聚类,并且可以利用第二个命令对聚类后的点云进行自动提取。(The program can realize fast clustering of point clouds based on fuzzy C-means, and automatically extract the clustered point clouds by using the second command.)
BCFCM_version_1
- Bias-corrected fuzzy c-means (BCFCM) clustering compensates for two sources of uncertainty by modeling noise and bias fields
SFCM
- 基于空间信息的模糊均值聚类算法,SFCM,适用于数据分析,图像分割(space fuzzy-c-means clustering algorithm)