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.
同时，在模糊C-均值聚类基础上选择训练样本比起直接基于真实地物图选择，减少了主观因素对训练样本选择的影响，因此取得了更高的分类精度。
Selecting train sample on the basis of fuzzy C-mean clustering decreased subjective factor affecting selecting train sample, so higher classification accuracy can be achieved.
建立了煤炭资源产分类的影响因素评价指标体系，以及基于聚类的综合评判模糊分类模型，探讨了煤炭资源资产分类的模糊数学方法，并通过实例进行了检验。
In the paper the evaluation index system of factors influencing the value of coal resources assets is set up, and fuzzy models for the classification of coal resources assets are given.
利用两个聚类效果评价指标模糊效果指数FPI和归一化分类墒NCE，确定了最适宜的分区数。
Performance index (FPI) and normalized classification entropy (NCE) were used to determine the optimum cluster number.
本文从不同树种、不同时间、空间的分布出发，应用模糊聚类分区模型先对样本进行分类，以便确定有关参数。
The article applies fuzzy gathering distribution model and distribute species from different trees, time and space decides on the related parameter.
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.
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.
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。
To improve the accuracy of text clustering, fuzzy c-means clustering based on topic concept sub-space (TCS2FCM) is introduced for classifying texts.
本文研究了模糊聚类方法结合模糊神经分类系统，筛选出了好的数据记录，在优选压裂井时使用。
This paper found the "good" dataset by using fuzzy clustering and fuzzy neuro-cluster data classification system, which can be used in the candidate selection.
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。
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.
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.
该方法借鉴了神经网络理论、模糊聚类算法和自适应模式识别法的优点，自动完成样本的分类与样件设计工作。
Based on the theory of neural networks, fuzzy clustering algorithm and adaptive pattern recognition, the method can be used to classify and design the sample workpiece automatically.
针对基于章节目录的分类方式过于依赖特定教材的不足，提出了基于关键词聚类的问题模糊分类方法。
Aimed at the lack of the old classification algorithm, the paper presents a question fuzzy classification algorithm based on clustering of .
作为一种重要的分类器，模糊聚类技术在磁共振图像的分割中已经得到了成功的应用，并成为了一种有效的磁共振图像的分割工具。
As an important classifier, fuzzy clustering technique has been widely used in segmentation of MRI image and became an effective segmentation tool of MR image.
模糊聚类是非监督分类中的一类重要方法。
Fuzzy clustering is an important method in unsupervised classification.
而模糊聚类算法则准确地完成对样本的分类任务。
Fuzzy clustering algorithm was used to classify the faults samples correctly.
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；
The analysis results show that using fuzzy clustering to classify the traffic flow is feasible;
摘要模糊聚类分析算法能够通过目标函数准确地用公式表述聚类准则，从而较好地解决分类问题。
The clustering methods can exactly describe clustering criterion with formulations by the objective function. The classification problem can be better solved.
由于GK模糊聚类能够自动地探测不同聚类形状，故其被认为是一类较好的用于分类的数据分析技术。
As a good data analysis tool, the GK fuzzy clustering can automatically detect different cluster shape. However, it has many shortcomings.
然后用模糊聚类的方法实现目标的分类，并根据实际数据的特点灵活地选择和调整了模糊聚类的距离函数，比较简洁地实现了目标的分类。
Objects are classified by using fussy clustering method. Distance function is selected and adjusted in conformity to the character of practical data. Elliptical objects are classified concisely.
本案例采用结合模糊聚类和广义神经网络回归的聚类算法对入侵数据进行分类。
This case USES combined with fuzzy clustering and generalized regression neural network clustering algorithm for intrusion data classification.
提出基于模糊聚类的声誉类型动态定义机制，以解决在不同环境中声誉主体的分类问题。
The model gives the definition of e-commerce in the network environment, and analyzes the reputation attributes of asymmetry, transferability, dynamic changes, and the over time attenuation.
提出基于模糊聚类的声誉类型动态定义机制，以解决在不同环境中声誉主体的分类问题。
The model gives the definition of e-commerce in the network environment, and analyzes the reputation attributes of asymmetry, transferability, dynamic changes, and the over time attenuation.
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