实际上，它是一种新的模糊聚类的方法。
通过线性变换得出模糊聚类指标及模糊子集。
Index of fuzzy cluster and fuzzy subset can be obtained through linear transform.
提出了应用模糊聚类划分储集层岩石物理相的方法。
A method for division of reservoir petrophysical facies by fuzzy clustering is proposed.
本文给出了模糊聚类算法在图像分割中的应用结果。
In this paper, the application of suppressed fuzzy clustering algorithm in image segmentation is introduced.
采用模糊聚类法进行变形分析具有一定的可探讨性。
To analyze the settlement deformation by utilizing Fuzzy Cluster method is worthy of discussing.
该文给出了一种基于模糊聚类的粗糙集决策表分析方法。
In this paper, a rough set decision table analysis method based on fuzzy cluster is presented.
但模糊聚类能使隐藏在这些资料中的沉积学信息清楚、白化。
Fuzzy cluster can make the sedimentological information concealed in the data to be clear and white.
模糊聚类、识别与优选是系统优化模糊集分析理论的数学基础。
The theory of fuzzy cluster, recognition and optimum decision is the mathematical basis of optimum fuzzy set of system.
针对彩色地形图的自动分色问题，提出了一种新的模糊聚类算法。
Aimed at the automatic color segmentation of topographic maps, a new effective fuzzy clustering algorithm is presented.
结合模糊聚类和粗糙集提出了一种基于精简的模糊规则库分类算法。
Proposes a classification algorithm based on simplified fuzzy rules base combining fuzzy clustering with rough set.
其中模糊聚类是核心，模糊识别与优选决策模型均由模糊聚类导出。
Fuzzy cluster is the kernel among them. Pattern recognition and optimum decision are developed by fuzzy cluster.
前言：目的探讨颅脑mri图像模糊聚类分割算法中最佳模糊聚类数。
Objective: To discuss the best fuzzy clustering number of MRI brain images segmentation.
通过模糊聚类，得到对高光谱遥感影像原始波段集合的模糊等价划分。
Using fuzzy clustering, the original bands set of hyperspectral remotely sensed images is divided into some fuzzy equivalent subset.
模糊聚类是模糊理论的一个重要的分支，在图像分割中得到广泛应用。
Fuzzy clustering is an important branch of fuzzy set theory, and is widely applied in image segmentation.
目的介绍一种动态模糊聚类算法并利用该算法对磁共振图像进行分割研究。
Objective to introduce a dynamic fuzzy clustering algorithm and use it to do the study of segmentation of the brain in MRI.
模糊聚类算法(FCM)应用于数字图像的边缘检测已取得了较好的效果。
Fuzzy c-clustering algorithm (FCM) is a useful tool in edge detection of digital image.
基于形式概念分析和概念相似度，给出一种新的多背景文本模糊聚类方法和模型。
A novel multi-context text fuzzy clustering method and its model based on formal concept analysis and concept similarity is proposed.
最后基于机理分析和模糊聚类技术建立了密闭鼓风炉过程操作参数优化决策模型。
Combining the mechanism analysis with Fuzzy Clustering technique, an optimization and decision-making model about operating parameters in the ISF smelting process is built.
运用系统聚类和模糊聚类方法，确认贵州麻鸭在我国主要地方鸭种中的分类地位。
The Guizhou Sheldrakes among tne famous Chinese duck breeds were identified using both hierarchical clustering methods and fuzzy classification methods.
利用模糊聚类方法对案件侦察数据进行了分析，解决了侦察数据自动聚类分析问题。
Using fuzzy clustering method analysis the case reconnaissance data, the problem of reconnaissance data automatically cluster is solved.
模糊聚类法通过数据标准化，平移及极差变换、确定最佳阙值和求解动态聚类图。
The law of fuzzy clustering confirms the best threshold and determines the dynamic clustering figure by data's standardization, shift and range transform.
借助模糊聚类技术和粗糙集理论提出了一个基于客观信息熵的多因素权重分配方法。
Using fuzzy aggregation theory and rough set theory, this article puts out a weight allocation method based on impersonal message entropy.
应用模糊聚类方法，对阿克苏市当前棉花生产水平下地膜棉播期气象年型进行分类。
The meteorological conditions at seed-time of cotton covered with plastics film at present productive level in Akesu are grouped with fuzzy method.
利用这些性质和模糊聚类谱系图逐层分类的特征，建立起模糊聚类谱系图的多叉树。
Making use of the properties and the character of classification at each level on the hierarchical graph, the multi branched tree of the hierarchical graph is set up.
本文试用模糊聚类方法，对该地区的水资源区划进行探讨，初步得出3个类型的划分。
Regionalization of the water resources in this area has been proved by using fuzzy clustering method, through which 3 types have been settled.
在模糊聚类算法的基础上，提出了一个衡量聚类有效性的函数，以确定模糊规则的数目。
A function for measuring clustering validity based on the fuzzy clustering algorithm is defined with which the number of fuzzy rules can be determined.
针对异类传感器观测空间不一致的问题，提出了基于模糊聚类的异类多传感器数据关联算法。
For the inconsistency problem of heterogeneous sensors' measurement Spaces, a new data association (da) algorithm based on fuzzy clustering algorithm is presented.
利用递推模糊聚类算法实时对系统的输入空间进行模糊划分，利用卡尔曼滤波算法确定参数。
The input space of fuzzy system is partitioned by means of real time recursive fuzzy clustering, and the parameters of fuzzy model are confirmed by Kalman filtering.
结果当模糊聚类数为5 ~6时，模糊聚类有效性函数最小，图像处理的效果达到最佳水平。
Results: When fuzzy clustering number for 5-6 and fuzzy clustering validity achieved a minimum level of image processing with the best effect.
通过改进模糊聚类方法确定模糊模型的前件结构，并对模糊推理关系矩阵进行正交最小二乘估计。
The premise structure of fuzzy model is confirmed by the improved fuzzy clustering, and fuzzy relation matrix of fuzzy model is confirmed by orthogonal least square.
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