搜索资源列表
FMC
- 模糊C均值聚类，比较适合初学者，聚类数目可自行调整-Fuzzy C-means clustering, more suitable for beginners, please support
FCM
- FCM Fuzzy c means clustering-FCM 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
mat
- 文件中包含了使用模糊C-均值实现聚类分割的算法原理以及MAtlab源程序,程序运行效果不错，也有注释-File contains the use of fuzzy C- mean clustering algorithm to achieve the principle of clustering and MAtlab source code, the program runs well, there are comments
FUZZCLUST
- 是一个模糊聚类包，里边有FCM，GG，GK，三种聚类的功能代码，可以对比分析，有助于对三种聚类的理解。-It is a fuzzy clustering package, which has FCM, GG, GK, three kinds of clustering function code, comparative analysis helps understand the three clusters.
CPPGA-FCM
- 使用C++语言实现遗传算法和模糊C聚类的结合-C++ Implementation of genetic fuzzy clustering algorithm C
MatlabFKmeans
- 使用matlab实现模糊聚类K-means算法的过程程序 有详细的说明-Use matlab fuzzy clustering K-means algorithm of the program is described in detail
SamplesSelection
- 利用优化的模糊聚类方法进行神经网络训练样本的优选-Optimal selection neural network training samples using optimized fuzzy clustering method
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
2
- vc++开发的图像分类，包括聚类分析，模糊聚类，遗传算法聚类等-vc++ Developed image classification, including cluster analysis, fuzzy clustering, genetic
K-means
- MATLAB编写的一种模式识别里的重要的模糊聚类方法K-means算法的matlab程序-MATLAB prepare a Pattern Recognition s important Fuzzy clustering methods K-means algorithm Matlab procedures.
456
- 主要是将模糊聚类分选算法应用于雷达信号分选中，已达到更好的分选效果-The fuzzy clustering algorithm is applied to radar signal sorting, which has achieved a better sorting effect.
Fuzzy-C---Means-Clustering-Algorithm
- 该程序主要用于机械故障模式的识别与诊断，且诊断准确率较高，具有工程应用价值。-The program is mainly used for the identification and diagnosis of mechanical failure modes, and the diagnostic accuracy is high, with engineering application value.
FCMClust
- 模糊C聚类算法的matlab源码，注释非常清晰详细，并有实验图片。-Fuzzy C clustering algorithm matlab source code, the note is very clear and detailed, and experimental pictures.
Interval-Type-2-Relative-Entropy
- 区间二型模糊聚类算法，给出了利用区间二型模糊熵改进FCM算法的思路和方法-Interval type-2 fuzzy clustering algorithm, gives the ideas and methods of interval type-2 fuzzy entropy Improved FCM Algorithm
FCM
- FCM+KFCM模糊C均值聚类分析算法matlab代码，有界面，有图片，运行正常-FCM+KFCM fuzzy C mean clustering algorithm ，matlab code, there are interfaces, pictures, running normal
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
CollaborativeFiltering
- 基于模糊聚类的协同过滤算法，是一篇讲算法的文章，没有具体实现，为caj文件，需用特定阅读器打开-Fuzzy clustering algorithm based on collaborative filtering, the article is an article about the algorithm, there is no specific implementation for caj documents required specific reader opens
FCM
- 用MATLAB实现的关于模糊聚类的算法，实验效果良好。-Using MATLAB to achieve the fuzzy clustering algorithm, the experimental results are good.