Management capabilities, such as dynamic routing rules and clustering support, have been improved.
管理功能，如动态路由规则和集群支持，也得到了改进。
Third, I introduced clustering, which can be used to create groups (clusters) of data from which you can identify trends and other rules (BMW sales in our example).
我介绍的第三种技术是群集，可用它来创建数据组(群集)并从中识别出趋势和其他规则(在我们的例子中，即BMW的销售)。
On the basis of fuzzy clustering and rough set, an algorithm for extracting fuzzy rules was proposed.
提出了一种基于模糊软分类和粗糙集理论来提取模糊规则的一种算法。
The optimal fuzzy association rules can be mined due to the optimal fixed clustering number that can be obtained by the relational competitive agglomeration algorithm.
由于关系数据的竞争聚集算法能得到优化的固定的聚类个数，因此能挖掘出优化的模糊关联规则。
Proposes a classification algorithm based on simplified fuzzy rules base combining fuzzy clustering with rough set.
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。
Clustering analysis is an important research domain in data mining. It is a math method which classifies things according to certain demands and rules.
聚类分析是数据挖掘的一个重要研究领域，它是按照一定的要求和规律将事物进行分类的一种数学方法。
Based on the idea of repeated matching and clustering arithmetic, the heuristic rules and heuristic algorithm for packing and scheduling problem are put forward.
利用重复匹配算法、聚合算法等启发式方法，提出了布局调度操作的启发式规则及相应的启发式算法。
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。
A function for measuring clustering validity based on the fuzzy clustering algorithm is defined with which the number of fuzzy rules can be determined.
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。
According to the characteristics of customer preference that changes with time, customer preferences are mined dynamically with such technologies as clustering and association rules.
基于顾客偏好随时间变化的特性，采用聚类、关联规则等技术，对顾客偏好进行动态挖掘。
The whole network has not only the learning ability to neural network, but also the logic ability to fuzzy system based on rules, especially the automatic clustering ability to sub-class.
整个网络既有神经网络的学习能力，又有模糊系统的基于规则的推理能力，特别是对子类的自动聚类能力。
Rule clustering re-organizes rules which are generated during the procedure of association rule mining, to help customers find out interested rules.
规则聚类将关联规则挖掘产生的大量规则重新组织，帮助用户发现感兴趣的规则。
Lastly, to learn the change of the syllable prosodic rules in sentences, we use the method of clustering analysis to obtain typical pitch model.
为了学习句子中音节的韵律变化规律，首先通过聚类分析得出典型的句中音节基频模式，这些基频模式完全可以对应于目前通用的声调曲线。
Absrtact: Presents a method of clustering based on mining association rules.
摘 要：提出了一种基于关联规则挖掘的聚类方法。
The algorithm of clustering analysis and association rules is the main point, and revision to some specific problems in practice.
本文主要研究了聚类分析算法和关联规则算法，根据实际应用问题，对算法进行了部分改进。
Finally, according to the restriction of the preliminary clustering result derived from spectral feature of objects, the ultimate classification is achieved referring to the rules.
最后，在对象光谱特征的初步分类结果，根据纹理分类规则得到最终结果基础上。
It includes lots of measures such as association rules mining, classification and prediction, clustering analysis and evolvement analysis.
它包含关联规则挖掘、预测、分类、聚类、演化分析等多种技术手段。
It includes lots of measures such as association rules mining, classification and prediction, clustering analysis and evolvement analysis.
它包含关联规则挖掘、预测、分类、聚类、演化分析等多种技术手段。
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