由此提出一种基于分类和聚类相结合的个性化信息检索方法。
A kind of personalized search method based on classification and clustering technology is introduced in this paper.
本文主要研究适合于大规模科学数据挖掘的分类和聚类的理论和应用。
The main point of this paper is to research the theories and applications of classifying and clustering which is suitable for large-scale science data mining.
本文在分别介绍了传统分类和聚类算法之后，详细分析了基于ART神经网络的聚类算法。
After introducing the traditional methods of classification and clustering, this paper gives a particular analysis of the ART-based clustering method.
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。
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.
分类和聚类都是常用的数据挖掘方法，分类的优点是准确率较高，但需要带有类别标注的训练集；
Classification and clustering are both commonly used data mining methods. The advantage of classification is that the accuracy is higher, but the labeled training set is needed.
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。
A clustering-based and supervised intrusion detection method was proposed with new distance definition for mixed-attribute data and improved nearest neighbor classification method.
通过计算待评价对象与各聚类中心的距离，实现对其分类和方案的评价。
The classification and evaluation are realized by calculating the distance of the object and the cluster center.
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。
Based on classify criterion matrix, single-valued whitenization weight function and reliability code, grey attribute recognition clustering method is put forward.
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.
利用概念分类的聚类思想，使用概率和频率度量对行为数据分类，获得指导情报分析的模型。
Using the concept of classification of clustering, the behavior data were classified by probability and frequency, and the model was built for intelligence information analysis.
数据挖掘主要研究内容包括广义知识、关联知识、分类知识、聚类知识、预测型知识和偏差型知识的内容。
Data Mining mainly studies on research Generalization Knowledge, Association Knowledge, Classification Knowledge, Clustering Knowledge, Prediction Knowledge, and Deviation Knowledge.
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.
这是一种相对灵敏而且客观和可信度高的分类方法，试验结果表明该方法是可行的并且具有较好的聚类效果。
This is an ingenious and impersonal clustering method which has high reliability. The experiment results show that this method is feasible and has comparatively better clustering quality.
土地开发整理分区实际上是土地开发整理类型的聚类划界，兼有分类和分区两方面的特征。
Land development and consolidation areas, characterized by classification and zoning, are in fact the cluster demarcation of types of land development and consolidation.
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.
依据大量的调查资料，应用有序样本聚类方法，按林分类型、立地条件和林龄来确定次生林改造生长量划分标准；
Based on a large amount of investigating data, the authors use cluster analysis method with ordered samples to set dividing standards for the growth rate of secondary forests rechange.
提供了用来剖析复杂数据集的聚类、机器学习和分类的很多内置方法。
Many built-in methods for clustering, machine learning and classification are provided for dissecting complex datasets.
在文本分类方面，本文提出了一种基于聚类和粗糙集理论相结合的文本自动分类方法。
In text classification, we advance an automatic text classification way based on clustering and Rough Set Theory.
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.
以聋人大学生为被试，对17对空间词做相似性分类，用多维标度法和分层聚类法分析。
This study, by means of multidimensional scaling and hierarchical clustering, attempts a similar classification of 17 spatial words by the deaf students tested.
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.
为了对比，本文附有顺序分枝法、聚类分析法和分枝-聚类法的计算机辅助零件分类结果。
For comparing, some printing output of computer aided part classification based on Successive Branching, Cluster Analysis and SB-CA methods are illustrated in this paper.
这是一个科学计算库，支持多维数组和线性代数数，在某些计算概率、标记、聚类和分类任务中用到。
This is a scientific computing library with support for multidimensional arrays and linear algebra, required for certain probability, tagging, clustering, and classification tasks.
提出了一种k-均值聚类算法和SOM自组织神经网络算法相结合的异常检测模型，使得系统可以更好的分类正常数据流和异常数据流，以此来防范未知的攻击。
Secondly, the anomaly detection model based on K-means algorithm and SOM network is constructed. It can classify the normal and abnormal network data stream so better to detect the unknown attack.
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.
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.
应用推荐