In this paper, a method of information clustering and concept association is shown, it is based on neural network, and it aims at inkling information searching in knowledge discovery.
针对知识发现中的信息模糊查询问题，提出了一种基于神经网络的信息聚类及联想实现方法。
This method breaks through the traditional design ideas, for the usage of information clustering of concept lattice Characteristics. And it also broadens the application of concept lattices.
该方法利用了概念格对信息聚类的特性，突破了传统方法相关度计算方法的设计思路，拓宽了概念格的应用范围。
A query subject that USES a stored procedure to access the cluster information of the clustering model created by the mining algorithm.
查询主题使用存储过程访问由挖掘算法创建的集群模型的集群信息。
The second query item is a table with information about the clusters of the clustering model that has been created during the find deviation run.
第二个查询项是一个表，其中包含关于集群模型的集群的信息，这个集群模型是在finddeviation运行期间创建的。
For super clustering, the advantage of using a proxy server in this configuration instead of the HTTP plug-in router is that there is no need to manually edit any static routing information.
对于超级集群，与使用HTTP插件路由器相比，使用代理服务器的优势在于不需要手动编辑任何静态路由信息。
This is useful to add information that is not meaningful to Spring itself but which can be processed by frameworks built on Spring, or products integrated with Spring such as clustering products.
添加信息很有用，虽然对Spring本身没有意义，但可以被构建于Spring之上的框架，或者像集群产品这样跟Spring集成的产品来处理。
For complete instructions, see the clustering topic in the WebSphere Commerce Information Center.
有关完整说明，请参阅WebSphereCommerce信息中心中的集群主题。
Finally, studies on personalized information recommendation based on social tagging are analyzed, and find matrix, clustering and network analysis are three primarily methods.
最后，分析了社会化标注中个性化信息推荐的研究，发现借助矩阵、聚类和网络的分析是三种主要思路。
An image annotation method based on mutual information and constrained clustering is proposed.
提出一种基于互信息约束聚类的图像标注算法。
Based on concept space and text clustering technique as well as traditional keyword searching method, it could help users to locate the information they need quickly and precisely.
这种检索方法在文本聚类的基础上，基于概念空间并与传统的关键词检索相结合能够帮助用户快速、准确地定位所需要查找的信息。
See the configuration docs for clustering for more information.
请参阅更多信息集群配置文档。
We also examine the traditional agglomerative hierarchical clustering methods using the information of content to have a thorough comparison.
我们也检验传统用文章内容为资讯的聚合阶层式分群方法以更全面比较其中差异。
The clustering recognition of functional coupling relationship was aimed to provide support for decoupling and to avoid unnecessary loss of coupling information.
其中耦合关系的聚类识别旨在为解耦操作提供信息支持，以避免耦合信息的不必要丢失。
Aiming to some flaw, people bring forward to use Self-Organizing Feature Map on collecting data to make clustering and watching at first, and obtain principium information about some collection data.
针对这些缺点提出先利用自组织映射的方法对采集的数据进行聚类和可视化，获得一些关于采集到的数据的初步信息。
According to the characteristics of the related texts, this paper presents a sentence clustering method based on multi-features for getting profile information of the event.
本文利用事件相关文档的特点，提出了基于多特征的句子聚类方法，以期获得事件的各个侧面信息。
The method mines information on overlap between classes, designs the tree structure and overcomes the misclassification of tree-structured SVMs based on the semi-fuzzy kernel clustering algorithm.
该方法基于半模糊核聚类算法挖掘不同类别之间的衔接和离散信息，设计树型支持向量机的树型结构，克服其差错积累问题。
Clustering search's purpose is to help users find information quickly, it's outstanding feature is based on a property, on the search results returned by the cluster.
聚类搜索的目的就是为了快速帮助用户寻找信息，它的突出特点是根据某一属性，对搜索返回的结果进行聚类。
Anchorperson shots were detected automatically for browsing news video with STS pattern analysis, clustering and information fusion.
通过对时空切片的模式分析，聚类和信息融合，实现了新闻主播镜头的自动检测。
Coupling and clustering analyses on Internet information resources are an important part of the methodological system of Webmetrics.
网络信息资源的耦合与聚类分析是网络信息计量学方法体系的重要构成部分。
And a series of operations have done for each Email for the purpose of providing much richer information, availing to get better performance of Email categorization and clustering.
为了丰富语料信息，以及更好地进行邮件的分类和聚类操作，对邮件进行了一系列的预处理。
In the domain of information retrieval, using feature clustering to extract the features is one of the most important means in the reduction of text dimension.
借助特征聚类进行特征抽取是信息检索领域进行文本特征降维的重要手段之一。
Semi-supervised clustering algorithms use a small amount of supervision information in the form of labeled data or pairwise constraints to improve clustering performance.
半监督聚类通过利用少量有标号样本或成对约束等监督信息来提高聚类性能。
An information retrieval model based on language concept space and a clustering method which serves the IR model is propsed.
提出了一种以语言概念空间中的概念为聚类对象的信息检索方法以及适合于该方法的聚类算法。
The number field continuation was adopted by information acquire ability sub index, and the gray comprehensive clustering coefficients of relative objects were also acquired.
将信息获取能力分指标取数域延拓，求得相关对象关于灰类的综合聚类系数。
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。
Mean shift is an effective iterative algorithm widely used in clustering, tracking, segmentation, discontinuity preserving smoothing, filtering, edge detection, and information fusion etc.
均值平移是一种有效的统计迭代算法，已广泛应用于聚类分析、跟踪、图像分割、图像平滑、滤波、图像边缘提取和信息融合等方面。
The research shows that Shanghai Stock's duration has strong clustering, and long duration means no new information.
结果表明，上海股市交易的时间间隔具有很强的聚类性，较长的交易时间间隔表明市场上没有新的信息。
Accordingly, clustering the search results is one efficient solution to improve the lookup speed and fast locate the required information.
因此，对检索结果进行聚类处理成为提高用户查找速度和快速定位所需信息的一个有效解决方案。
In order to use the distribution of objects in information system, statistical values are computed on an axis by fuzzy clustering.
为了利用信息系统对象在数据空间中分布，通过对对象的模糊聚类，计算每一类在坐标轴上的统计值。
As an important section of data mining, clustering is an effective tool for analyzing large amount and complicate data and a major means for get intelligent decision-making information.
聚类分析作为数据挖掘技术的重要组成部分，是分析海量、复杂数据的有效工具，获取智能决策信息的主要手段。
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