模糊C均值聚类,fuzzy c-means clustering
1)fuzzy c-means clustering模糊C均值聚类
1.The analog circuits fault diagnosis based on fuzzy C-means clustering;基于模糊C均值聚类的模拟电路故障诊断
2.Segmentation of fat and lean meat in beef images based on fuzzy C-means clustering;基于模糊C均值聚类的牛肉图像中脂肪和肌肉区域分割技术
3.Brain MR image segmentation based on anisotropic Gibbs random field and fuzzy C-means clustering model;基于Gibbs场与模糊C均值聚类的脑MR图像分割
英文短句/例句

1.Key Frames Extraction Based on Simu-FCM Clustering类模糊C均值聚类的关键帧提取算法
2.Grouping Method Based on Fuzzy C-mean Clustering in PE Teaching;基于模糊C均值聚类的体育教学分组
3.Flame Detection Method Based on Fuzzy C-Means Clustering(FCM)基于模糊C均值聚类的火焰检测算法
4.Fast fuzzy C-Means clustering for image segmentation快速模糊C均值聚类的图像分割方法
5.Classification of flood hydrograph using improved fuzzy C-means clustering algorithm基于改进模糊C均值聚类算法的洪水过程分类
6.Automatic Extraction of Coronary Vessel Based on Fuzzy CMeans Cluster基于模糊C均值聚类的冠状动脉血管自动提取
7.Weighted fuzzy C-mean clustering algorithm based on improved genetic algorithm基于改进遗传算法的加权模糊C均值聚类算法
8.Rolling Bearing Fault Diagnosis Based on EMD and Fuzzy C Means Clustering基于EMD和模糊C均值聚类的滚动轴承故障诊断
9.Fast fuzzy C-means clustering algorithm for color image segmentation一种快速的模糊C均值聚类彩色图像分割方法
10.Research of improved genetic algorithm for image segmentation based on fuzzy C-means clustering模糊C均值聚类图像分割的改进遗传算法研究
11.Image Segmentation with Anisotropic Weighted Fuzzy C-Means Clustering各向异性权重的模糊C均值聚类图像分割
12.Genetic Fuzzy C-means algorithm adding in computing of RNA引入RNA计算的遗传模糊C均值聚类算法
13.Research on Fuzzy Cluster Analysis of Fuzzy C-means Clustering Calculation Method模糊聚类分析中模糊c均值聚类计算方法研究
14.Non-local denoising fast fuzzy C-means clustering algorithm非局部降噪快速模糊C-均值聚类算法
15.C-Means clustering based on immune genetic algorithm基于免疫遗传算法的模糊C-均值聚类
16.Generating T-S Fuzzy System Based on Modified FCM;基于改进的模糊C-均值聚类建立T-S模糊系统
17.Fuzzy C-means algorithm applied in intuitionistic fuzzy numbers clustering模糊C-均值算法在直觉模糊数聚类中的应用
18.Study on class merging cluster algorithm based on Fuzzy C-Means基于模糊C均值算法的类合并聚类算法研究
相关短句/例句

FCM模糊C均值聚类
1.A novel algorithm for discretization of continuous attributes in rough set theory based on FCM;基于模糊C均值聚类的粗集理论连续属性的离散化新算法
2.Based on the idea of combining models to improve prediction accuracy and robustness, the soft sensor model of the dry point of the first top naphtha is built by using FCM to divide a whole training dataset into several clusters with different centers.应用多神经网络建立初顶石脑油干点软测量模型,首先采用模糊C均值聚类法将样本集分成具有不同聚类中心的子集,每个子集运用BP神经网络训练得出子模型,然后根据聚类后产生的隶属度将各子模型的输出加权求和获得初顶石脑油干点软测量值。
3.With only pixel value information taken into account and non-robust Euclidean distance used as the distance measure standard, the classical Fuzzy C-means Clustering (FCM) algorithm lacks enough robustness in the image segmentation.传统模糊C均值聚类(FCM)算法进行图像分割时仅利用了像素的灰度信息,并且使用对噪声较敏感的欧氏距离作为像素与聚类中心距离度量的标准,因此抗噪性能较差。
3)fuzzy C-means模糊C均值聚类
1.A new strategy for speaker recognition,triple-particle fuzzy C-means clustering(FCM),called TP-FCM,was proposed.基于粒子群优化(particle swarm optim ization,PSO)提出一种说话人识别算法—三粒子模糊C均值聚类算法。
2.The new algorithm is based on the principle of fuzzy C-means(FCM) clustering algorithm and the transiently chaotic neural network(TCNN) algorithm.带容量约束的多车调度问题是典型的NP-hard问题,利用模糊C均值聚类算法的相似性分类原理及混沌神经网络的全局搜索能力和高搜索效率,提出了一种快速且易于实现的新的混合启发式算法。
3.An algorithm on data association for multisensor multitarget tracking (MSMTT) based on fuzzy comparability and fuzzy C-means (FCM)is proposed.利用模糊相似性和模糊C均值聚类算法相结合,提出一种求解多传感器多目标跟踪数据关联问题的方法。
4)fuzzy C-mean clustering模糊C均值聚类
1.A Short-term Traffic Flow Forecasting Method Based on Combination of Fuzzy C-mean Clustering and Neural Network;基于模糊C均值聚类和神经网络的短时交通流预测方法
2.In view of the defects of fuzzy C-mean clustering(FCM) image segmentation,an FCM image fusion segmentation algorithm based on the Dempster-Shafer(D-S) theory is presented.对图像的点灰度特征和块灰度特征分别进行模糊C均值聚类,并将各自的模糊隶属度转化为单一或复合假设及其基本概率赋值,再利用D-S证据理论进行融合分割。
3.For improvement on segmentation precision of crop disease images, an adaptive segmentation method of crop disease images was proposed based on fuzzy C-mean clustering algorithm (FCM), according to the properties of crop disease images.为提高作物病害图像的分割效果,根据作物病害图像的特点,提出了一种基于模糊C均值聚类算法(FCM)的作物病害图像自适应分割方法。
5)fuzzy C means clustering模糊C均值聚类
6)fuzzy C-means clustering模糊C-均值聚类
1.Escaped toll analysis of ETC system customer data based on fuzzy C-means clustering;基于模糊C-均值聚类的ETC系统客户的逃费分析研究
2.In order to recognize the pollutant sources and build the correspondence relationships between contaminated sources and important pollutants,a set of intelligent recognizing method based on correspondence factor analysis and fuzzy C-means clustering(short for IRM-CFA&FCM) is developed.为识别东湖污染物来源,建立排污口与主要致污因子之间的对应关系,提出了污染物来源智能识别方法;该方法巧妙耦合了对应分析、模糊C-均值聚类及聚类有效性函数等方法,并用加速遗传算法有效解决了这一复杂问题。
3.To improve the accuracy of text clustering,fuzzy c-means clustering based on topic concept sub-space(TCS2FCM) is introduced for classifying texts.为了改善文本聚类的准确度,提出用基于主题概念子空间的模糊c-均值聚类(TCS2FCM)方法来分类文本。
延伸阅读

动态模糊聚类法分子式:CAS号:性质:又称动态模糊聚类法。选定一批聚类中心,其指标能反映该类的特征,将样本向最近的聚类中心聚类。再根据分类结果确定新的聚类中心,其各项指标为该类中所有样本的相应指标的平均值。然后计算前后两聚类中心的差异,如差异大于某一阈值,说明分类不合理,需修改分类,即以新的聚类中心代替旧的聚类中心,直到前后两聚类中心的差异小于某一阈值,认为分类合理,从而终止分类过程。