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pattern
- Matlab模式识别例程，包括神经网络算法和BP算法，C均值算法与模糊C均值算法和SVM分类算法。-Matlab pattern recognition routines, including neural network algorithm and BP algorithm, C-means algorithm and Fuzzy C-means algorithm and SVM classification algorithm.
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- genetic algorithm for optimization and bee colony algorithm accompanied by fuzzy c means clustering .
Intelligent-Image-Color-Reduction-and-Quantizatio
- In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent clustering approaches: (a) k-Means Algorithm, (b) Fuzzy c-Means Clustering (FCM), and (c) Self-Organizing M
fgfcm
- using fast generated fuzzy c-means (fgfcm) for image segmentation.
cluster_VMDaFCM_casedat
- 为了精准、稳定地提取滚动轴承故障特征，提出了基于变分模态分解和奇异值分解的特征提取方法，采用标准模糊C均值聚类(fuzzy C means clustering, FCM)进行故障识 别。对同一负荷下的已知故障信号进行变分模态分解，利用 奇异值分解技术进一步提取各模态特征，通过FCM形成标准聚类中心，采用海明贴近度对测试样本进行分类，并通过计算分类系数和“卜均模糊嫡对分类性能进行评价，将该方法 应用于滚动轴承变负荷故障诊断。通过与基于经验模态分解的特征提取方法对比，该方法对标准FCM
fcmC
- 在原始的 fcm 算法基础上，对算法中的聚类数 c 和加权指数 m 给出优选方法， 进而而出了 fcm 参数优选自适应算法。-Fuzzy C-Means algorithm
IFP_FCM
- IFP_FCM,改进型FCM(模糊C均值)聚类算法,由Frank Hoppner与Frank Klawonn于2003年提出,解决了FCM算法对初始值设定较为敏感、训练速度慢、在迭代时容易陷入局部极小的问题。并附带了Box和Jenkins煤气炉数据模型辨识实例。-IFP_FCM, modified FCM (Fuzzy C-Means) clustering algorithm, in 2003, proposed by Frank Hoppner and Frank Klawonn, FCM
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。- 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
alporithm-bnsed-sjftware
- 是一个基于Matlab软件的模糊C-means聚类算法原代码,-Is a software based on Matlab fuzzy C- means clustering algorithm source code,
lifferencefuzzy
- 模糊C均值的详细说明文档,还包括硬分类与模糊分类的区别,欢迎下载,-A detailed descr iption of the fuzzy c-means document, but also the difference between hard classification and fuzzy classification, welcome to download,
760424
- 基于matlab的核模糊C-means聚类算法(KFCM),不错的-Based on matlab fuzzy C- means clustering algorithm (KFCM), good
cvasciyicationalsohard
- 模糊C均值的详细说明文档,还包括硬分类与模糊分类的区别,欢迎下载,-A detailed descr iption of the fuzzy c-means document, but also the difference between hard classification and fuzzy classification, welcome to download,
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- Improved genetic algorithm and fuzzy C- means clustering MATLAB source. The fuzzy C- means algorithm is easy to converge to local minima, in order to overcome the shortcomings of the genetic algorithm is applied to fuzzy C- means algorithm (FCM) opti
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- Improved genetic algorithm and fuzzy C- means clustering MATLAB source.
FCM.m
- 使用模糊C均值算法对数据集进行聚类分析，效果良好。(The fuzzy C means algorithm is used to cluster the data sets, and the results are good.)
SFCM-master
- Matlab Fuzzy c means example segmentation
WFCMClust1
- 采用模糊C均值对数据集进行聚类，是一种很有效的聚类方法(Clustering data sets using fuzzy C-means is a very effective clustering method)
FCM_S
- 该代码是对文章A Modified Fuzzy C-Means Algorithm for Bias Field Estimation and Segmentation of MRI Data算法的实现(the code of A Modified Fuzzy C-Means Algorithm for Bias Field Estimation and Segmentation of MRI Data)
KFCM_S
- 在文章A Modified Fuzzy C-Means Algorithm for Bias Field Estimation and Segmentation of MRI Data中加入了核估计算法(the modified code of A Modified Fuzzy C-Means Algorithm for Bias Field Estimation and Segmentation of MRI Data)
ENFCM
- 文章MR Brain Image Segmentation Using an Enhanced Fuzzy C-Means Algorithm的代码实现(the code of MR Brain Image Segmentation Using an Enhanced Fuzzy (:-Means Algorithm)