模糊C-均值聚类,fuzzy C-means clustering
1)fuzzy C-means clustering模糊C-均值聚类
1.Escaped toll analysis of ETC system customer data based onfuzzy 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 andfuzzy 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。
英文短句/例句
1.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
2.C-Means clustering based on immune genetic algorithm基于免疫遗传算法的模糊C-均值聚类
3.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
4.The Improved Fuzzy C-Means Clustering for Noisy Image Segmentation;改进的模糊C-均值聚类对噪声图像的分割
5.Fuzzy C-Means Algorithm and Its Application in Image Segmentation模糊C-均值聚类算法及其在图像分割中的应用
6.Image segmentation algorithm based on Particle Swarm Optimization fuzzy C-means clustering基于粒子群模糊C-均值聚类的图像分割算法
7.Research on Spaceflight Image Segmentation Based on Fuzzy C-means Clustering基于模糊C-均值聚类航天图像分割方法的研究
8.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
9.Key Frames Extraction Based on Simu-FCM Clustering类模糊C均值聚类的关键帧提取算法
10.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
11.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
12.Fast fuzzy C-Means clustering for image segmentation快速模糊C均值聚类的图像分割方法
13.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
14.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
15.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
16.An Application of Fuzzy c-Means Clustering Algorithm in Determination of Traffic-Flow Peak Hours;模糊c均值聚类在交通流高峰期确定中的应用
17.Immune Evolutionary Algorithm Based on Fuzzy C-means and A Parthian-genetic Algorithm;基于免疫单亲遗传和模糊C均值的聚类算法
18.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
相关短句/例句
Fuzzy C-mean clustering模糊C-均值聚类
1.Firstly,it uses wavelet transform to decompose the image and extract the feature,and then uses fuzzy c-mean clustering to do the texture segmentation.在讨论基于小波变换的阈值分割算法的同时,提出了Canny算子和小波变换的边缘信息融合的图像分割方法,以及利用小波变换对图像纹理进行分解、特征提取,然后利用模糊C-均值聚类(FCM)进行纹理分割的方法;探讨了各种分割方法的特点、应用范围、及图像分割技术的发展方向。
3)FCM模糊C-均值聚类
1.A New Method ofFCM Considering the Distribution of Spatial Data;顾及数据空间分布特性的模糊C-均值聚类算法研究
2.Generating T-S Fuzzy System Based on ModifiedFCM;基于改进的模糊C-均值聚类建立T-S模糊系统
4)fuzzy C-means cluster模糊C-均值聚类
1.Therefore,based on thefuzzy C-means cluster method and the compact and separate cluster validity function,a dynamicfuzzy C-means clustering method and corresponding cluster validity function based time are put forward,and a s.鉴于目前常规聚类方法不同时具备这些能力,在模糊C-均值聚类和紧密与分离聚类有效函数的基础上,提出了能够处理高维时序聚类问题的动态模糊C-均值聚类分析方法和相应的时序聚类有效性函数,耦合二者建立了适用于汛期分期的有效模糊聚类分析方法,提出采用实码加速遗传算法优化求解,克服了模糊C-均值聚类方法常规迭代优化求解对初值敏感的困难,并给出了完备的建模步骤和模型的合理性检验。
2.Using a modified Xie-Beni cluster validity index, the fuzzy c-means cluster algorithm with entropy regularization is extended to integrate fuzzy cluster and density estimation to identify TF components and derive TF energy mixture model that indicates the number of components in the s.用修正的Xie-Beni聚类有效性指标对熵调整模糊c-均值聚类算法进行拓展将模糊聚类与密度估计相结合,实现了信号时频分量的识别和建模;信号的时频能量混合模型给出了信号分量的数目及其在时频面上所占据的区域。
3.The paper based on previous studies, summing up the basic principles of Region Growing, Fuzzy C-means Cluster and BP(Back Propagation, BP) Network, using the function set and toolbox of MATLAB software, programming to separate cloud and fog on MTSAT-1R satellite image, recognizing and extracting fog areas.本文在前人研究的基础上,总结了区域生长法、模糊C-均值聚类法和BP神经网络法的基本原理,并利用MATLAB软件强大的函数集和工具箱,编程实现了对MTSAT-1R卫星影像中云雾的分离处理,并对影像中的雾区进行识别、提取,研究成果为大雾遥感监测提供了依据。
5)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
6)FCM模糊C均值聚类
1.A novel algorithm for discretization of continuous attributes in rough set theory based onFCM;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 usingFCM 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。
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。
