搜索资源列表
HWFCM
- 几种混合模糊c均值聚类算法的改进文献，可供学习者参考-Several hybrid fuzzy c-means clustering algorithm literature, provide a reference for the learners
upload
- genetic algorithm for optimization and bee colony algorithm accompanied by fuzzy c means clustering .
FCMClust
- 采用模糊C均值对数据集进行聚类的matlab代码-Matlab code for data clustering based on fuzzy c-means algorithm
K-Means-master
- 模糊C均值聚类算法的PYTHON实现，在UCI的IRIS数据集上实现-Fuzzy C-means clustering algorithm PYTHON realization, implemented on UCI s IRIS data set
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
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
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.
day2
- fuzzy c mean clustering, fuzzy edge detection of an medical image
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
3626600
- 源码是有关模式识别与图像处理的,以及人工智能中的模糊算法,聚类算法 -Source is about pattern recognition and image processing, as well as the fuzzy algorithm in artificial intelligence, and clustering algorithm,
5929087
- 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
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,
phd5.ZIP
- it is about clustering of data using fuzzy logic
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
Improved-genetic-algorithm
- Improved genetic algorithm, fuzzy mean clustering