fuzzy clustering

The Study of Fuzzy Clustering Segmentation Methods of Brain MRI

MR颅脑图像分割的模糊聚类方法研究

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A fast sequential image fractal coding approach based on optimal fuzzy clustering

基于模糊聚类优化的序列图像快速分形压缩

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A New Fuzzy Clustering Algorithm of Categorical Data Set Based on the Kernel Method

基于核方法的分类型属性数据集模糊聚类算法

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On the research of fuzzy clustering analysis and application in poliomyelitis

关于Fuzzy聚类分析及其在脊髓灰质炎中的应用

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The paper analyzes the characteristics of fuzziness of dynamic space occupancy of different vehicles on urban arterials, and classifies the different vehicles by means of fuzzy clustering.

从定义各类型车辆所占用的动态空间瞬时车道占有率入手，提出了以车辆瞬时占用车道长度与速度的比值为参数，基于模糊动态聚类对车辆进行分类的方法。

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Application for Dynamic Modeling of Continuous Stirred Tank Reactor ( CSTR) System Using Fuzzy Clustering Method

模糊聚类学习算法在连续搅拌反应釜（CSTR）系统动态建模中的应用

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The application of the fuzzy clustering method in the architectural construction quality in the evaluation and classification

应用模糊聚类法对建筑工程质量的评判分类

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Fuzzy clustering of human body pulse signals based on AR model

基于AR模型的人体脉象信号模糊聚类研究

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A model for Airport Target Selection Based on Fuzzy Clustering Analysis

基于模糊聚类方法的机场目标选择模型

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Fuzzy Clustering Analysis of Social Cost in Urban Communications

城市交通社会成本模糊聚类分析

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Based on 7 math-morphological features ( MMFs), such as form parameter, lobation, sphericity, etc. extracted from the images of 28 species of insects of the Hemiptera, Lepidoptera and Coleoptera, the application of rough-set theory and fuzzy clustering analysis in insect taxonomy was evaluated.

本文根据昆虫图像，对半翅目、鳞翅目、鞘翅目的28种昆虫提取的形状参数、叶状性、球状性等7项数学形态特征进行了粗糙集模糊聚类分析。

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On Web Using Schema Mining Based on the FC-MDE Fuzzy Clustering

基于FC-MDE模糊聚类的Web用户模式挖掘

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The Utility Program for Transitive Closure Method on Fuzzy Clustering Analysis

模糊聚类分析传递闭包法实用程序

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Method of isosceles right triangle on Fuzzy clustering

Fuzzy聚类的等腰直角三角形法

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An efficient pyramidal color image segmentation method with fuzzy clustering

高效的彩色图像塔形模糊聚类分割方法

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The analysis results show that using fuzzy clustering to classify the traffic flow is feasible;

分析结果表明：用模糊聚类进行交通流状况分类是一种可行的方法；

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The two fuzzy clustering algorithms are mainly analyzed: fuzzy clustering algorithm based on equivalence relation and fuzzy k-means clustering algorithm.

重点分析了两种常用的模糊聚类算法：基于等价关系的模糊聚类和模糊k均值聚类。

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The algorithm uses the result of K means clustering to guide the initiation of fuzzy clustering so that the iteration number of fuzzy clustering can be reduced obviously, thus the speed of fuzzy clustering can be accelerated greatly.

该算法利用K均值聚类结果指导模糊聚类的初始化，使模糊聚类的迭代次数明显减少，从而极大地提高模糊聚类的速度。

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Through fuzzy clustering algorithm bring to bear MRF model spatial restriction field, consequently enhancing algorithm noise immunity.

由于将MRF模型的空间约束施加给模糊聚类算法，从而增强了算法的抗噪声能力。

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Research on apparent pungency ratings for chili products based on fuzzy clustering analysis

基于模糊聚类分析的辣椒制品表观辣度分级研究

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Texture Segmentation Based on Spatial Information and Fuzzy Clustering

基于空间信息与模糊聚类的纹理分割方法

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Study of Texture Segmentation Methods Based on Fuzzy Clustering and Neural Networks

基于模糊聚类及神经网络的纹理分割方法研究

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Fuzzy Clustering of the Climatic Resource in Altay Area, Xinjiang

新疆阿勒泰地区气候资源的模糊聚类分析

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Research on Fuzzy Clustering Based on Subtractive Clustering and Fuzzy c-means

基于减法聚类与模糊c-均值的模糊聚类的研究

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The fuzzy space and the number of fuzzy rules of this model are defined by the fuzzy clustering method and weight coefficients of the model are adjusted by the BP algorithm.

该模型利用模糊聚类技术确定系统的模糊空间和模糊规则数，利用BP算法调整模糊神经网络的权系数。

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Arthropod community structure and its fuzzy clustering analysis in jujube orchard

枣园节肢动物群落结构及其模糊聚类分析

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However, fuzzy clustering algorithm exist initial value sensitivity problem.

然而，模糊聚类算法存在初始值敏感问题。

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Fuzzy C means clustering ( FCM) algorithm is a classical fuzzy clustering analysis, the algorithm has been effectively used in data mining, pattern recognition, computer vision and decision support.

模糊C均值聚类（FCM）算法是&种经典的模糊聚类分析方法，该算法已经有效地应用在数据挖掘、模式识别、计算机视觉以及决策支持等领域，具有重要的理论与实际应用价值。

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A Fuzzy Clustering Diagnosis Model of Examination Paper

一类试卷诊断模糊聚类模型

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Studies on Seedling Quality of Hybrid Rice with Fuzzy Clustering Analysis

模糊聚类分析判别杂交稻秧苗素质的研究

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