To study the application of fuzzy cluster analysis for medical image data mining.
研究模糊聚类分析在医学图像数据挖掘中的应用。
Index of fuzzy cluster and fuzzy subset can be obtained through linear transform.
通过线性变换得出模糊聚类指标及模糊子集。
In this paper, a new method is proposed, combining fuzzy cluster with center cluster.
本文结合中心聚类和模糊聚类提出了一个新的聚类方法。
In this paper, a rough set decision table analysis method based on fuzzy cluster is presented.
该文给出了一种基于模糊聚类的粗糙集决策表分析方法。
The fuzzy analogy method consists of two parts: fuzzy cluster analysis and pattern recognizing.
该方法由模糊聚类和模式识别两部份组成。
To analyze the settlement deformation by utilizing Fuzzy Cluster method is worthy of discussing.
采用模糊聚类法进行变形分析具有一定的可探讨性。
NAA data are further analyzed using fuzzy cluster analysis to obtain a fuzzy cluster trend diagram.
将这批NAA数据进行模糊聚类分析，得到动态模糊聚类分析图。
Fuzzy cluster can make the sedimentological information concealed in the data to be clear and white.
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。
Through fuzzy cluster analysis of the deposit, different types and their forming mechanism are delved.
通过对沉积物的模糊聚类分析，探讨了沉积物的存在模式及其形成机理。
Fuzzy cluster is the kernel among them. Pattern recognition and optimum decision are developed by fuzzy cluster.
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。
On the basis of fuzzy mathematics, the paper applies fuzzy cluster analysis to sort the grid resources reasonably.
文章将基于模糊数学的模糊聚类分析法应用于网络资源分析，使网络资源得到合理分类。
Defining such problems and by virtue of the conventional fuzzy cluster analysis via digital information networking.
首先对基于多指标语言评价信息的聚类问题进行了描述；
One model is fuzzy cluster analysis of gene expression data based on a cluster validity measure named Xie-Beni index.
一种模型是基于有效性测度谢白尼指数的基因表达数据的模糊聚类分析。
This procedure in the realization of fuzzy cluster analysis algorithm to achieve through the recursive classification.
本程序实现模糊数学中聚类分析算法，该算法通过递归来实现分类。
The theory of fuzzy cluster, recognition and optimum decision is the mathematical basis of optimum fuzzy set of system.
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。
Fuzzy cluster is one of the branches of knowledge discovery in database (KDD). And neural network is a good tool for clustering.
模糊聚类是目前知识发现(KDD)领域中的研究分支之一，而神经网络是用于聚类的良好工具。
Fuzzy cluster analysis, with the combination of fuzzy moths and statistical analysis are widely used in the quantities medicine diagnose.
模糊数学与统计分析相结合的方法，作为医学计量诊断的一种常用方法，在医学辅助诊断中有着广泛的应用。
In order to overcome the limitation of FCM, a novel Two-dimension Fuzzy Cluster Method (2DFCM) was proposed based on the spatial information.
为了克服传统FCM算法的局限性，本文提出了一种基于空间邻域信息的二维模糊聚类图像分割方法（2DFCM）。
The hierarchical graph is drawn and other researches on fuzzy cluster analysis are made with a computer by traversing the multi -ranched tree.
通过遍历此树，用计算机完成模糊聚类分析中谱系图绘制等多项工作。
At last, the computer program of x fuzzy cluster analysis with maximal tree method of cut-matrix and some examples in medicine were demonstrated.
最后给出了“入截矩阵”的最大树法的模糊聚类分析的计算机程序并对医学实例进行验证。
Its aim is to accomplish fuzzy cluster among data of multisensor in order to make out the affiliation between different data and different targets.
该方法的目的是实现多传感器观测数据的模糊聚类，使源于不同目标的观测数据能正确划分到该目标中去。
With theory of fuzzy cluster analysis, this paper simply and conveniently solves some problem of mathematics modeling, and gets a satisfied result.
本文应用模糊聚类分析理论，快速、简捷地处理了数学建模中的某些问题，得到了令人满意的结果。
The steady factor of evaluation set is obtained by the method of Fuzzy Cluster Analysis, then the steady points are separated by the method of Fuzz…
通过综合评判得到评价集的稳定因素，进而用聚类分析方法分离出这些稳定点。
AFCN (adapted fuzzy cluster neural network) is introduced to keep up trade-off between noise attenuation and detail preservation in image processing.
为了获得滤除噪声和细节保留两方面更好的平衡，提出了一种自适应模糊聚类神经网络。
The results indicated that fuzzy cluster analysis is a useful method of objective classification and multifactorical evaluation of parents and F_1 hybrids.
结果表明，模糊聚类分析是品种客观分类及综合评价亲本、F_1的好方法。
In traffic investigation, traffic sub-areas are classified by fuzzy cluster analysis through such USES as industry, residence, construction and road green plaza.
在交通调查中，可利用模糊聚类分析将交通分区按工业、居住、公建、道路绿化广场等各项用途来进行分类。
To define the part cluster reference patterns is the key in part classification system. The problem has been solved successfully by using fuzzy cluster analysis.
确定零件组的参考模式是零件分类系统的关键问题。采用模糊聚类分析法，解决了这一难题。
On the basis of practice, this paper designs a scientific and complete evaluation system, and sets up a model for the evaluation by means of fuzzy cluster analysis.
本文在实践经验的基础上，设计了科学全面的评价指标体系，并采用模糊聚类分析方法建立了供应商评价模型。
The steady factor of evaluation set is obtained by the method of Fuzzy Cluster Analysis, then the steady points are separated by the method of Fuzzy Cluster Aalysis.
通过综合评判得到评价集的稳定因素，进而用聚类分析方法分离出这些稳定点。
The steady factor of evaluation set is obtained by the method of Fuzzy Cluster Analysis, then the steady points are separated by the method of Fuzzy Cluster Aalysis.
通过综合评判得到评价集的稳定因素，进而用聚类分析方法分离出这些稳定点。
应用推荐