Based on concepts of attribute measurement, we used attribute clustering network approach to resolve some problems of pattern recognition.
在属性测度概念的基础上，运用属性聚类网络方法解决模式识别问题。
With respect to multiple attribute clustering analysis problems with triangular fuzzy numbers, a new clustering analysis method is proposed.
针对一类特征指标值及指标权重均为三角模糊数的多指标信息聚类问题，提出了一种新的最大树聚类分析方法。
One defining benefit of clustering over classification is that every attribute in the data set will be used to analyze the data.
与分类相比，群集的一个好处是数据集内的每个属性都被用来分析该数据。
Put-enabling and put-disabling queues is a good approach because clustering will automatically propagate changes to the put attribute and use the attribute when workload balancing.
对队列启用和禁用放置是一种好方法，因为集群机制会自动把更改传播到放置属性并在平衡工作负载时使用该属性。
Based on classify criterion matrix, single-valued whitenization weight function and reliability code, grey attribute recognition clustering method is put forward.
运用分类标准矩阵、单指标白化权函数和置信度原则，提出了基于属性识别的灰色聚类方法。
Attribute means clustering is more robust than fuzzy means clustering by theoretical analysis and numerical example.
通过理论分析，属性均值聚类是比模糊均值聚类更稳健的聚类方法。
A clustering-based and supervised intrusion detection method was proposed with new distance definition for mixed-attribute data and improved nearest neighbor classification method.
基于一种用于混合属性数据的距离定义和改进的最近邻分类方法，提出了一种基于聚类的有指导的入侵检测方法。
The concepts of high attribute dimensional information system are firstly proposed, and a new dynamic clustering method on the basis of sparse feature difference degree is presented.
针对高属性维稀疏数据聚类问题，提出高属性维稀疏信息系统概念，给出一种新的基于稀疏特征差异度的动态抽象聚类方法。
Based on the test, the paper gets preference to configuration of car, preference to price and preference to transmission of car through the analysis of the multi-attribute utility clustering.
在此基础上，根据多属性效用聚类分析的结果获得了轿车配置偏好、价格偏好和变速器偏好三个消费群体。
By clustering extraction patterns are divided into different clusters and then according to different clusters the different attribute values are extracted from the dictionary.
通过对抽取模式进行聚类并按内涵属性类型划分为不同的簇，再按照不同的簇从词典中抽取出不同内涵属性类型的内涵属性值。
Several methods of data mining and text mining have been studied in this paper, which mainly includes: attribute reduction methods, clustering methods.
本文研究了基于遗传算法和社会演化算法的数据挖掘和文本挖掘方法，主要包括数据挖掘和文本挖掘中的属性约简问题、聚类问题。
Then the membership matrix obtained by clustering algorithm was used to reduce attribute set. Finally, based on entropy, a knowledge acquisition method of fuzzy Rough Set (RS) was put forward.
进而将聚类得到的属性隶属矩阵用于属性约简，并提出一种基于信息熵的模糊粗糙集知识获取的方法。
Then the membership matrix obtained by clustering algorithm was used to reduce attribute set. Finally, based on entropy, a knowledge acquisition method of fuzzy Rough Set (RS) was put forward.
进而将聚类得到的属性隶属矩阵用于属性约简，并提出一种基于信息熵的模糊粗糙集知识获取的方法。
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