A kind of personalized search method based on classification and clustering technology is introduced in this paper.
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。
After introducing the traditional methods of classification and clustering, this paper gives a particular analysis of the ART-based clustering method.
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。
You'll see that it is like a combination of classification and clustering, and provides another useful weapon for our mission to destroy data misinformation.
您将看到它更像是分类与群集的组合，并为我们消灭数据误导的使命提供了另一种有用的武器。
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.
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；
Data mining commonly involves a few standard tasks that include clustering, classification, regression, and associated rule learning.
数据挖掘通常涉及到一些标准的任务，包括聚集、分类、回归分析和关联性规则学习。
We are increasingly familiar with clustering, entity identification, automatic classification and other approaches.
我们越来越熟悉聚合、识别实体、自动分类以及其他地方式。
This article discussed two data mining algorithms: the classification tree and clustering.
本文讨论了两种数据挖掘算法：分类树和群集。
Future articles will touch upon other methods of mining data, including clustering, Nearest Neighbor, and classification trees.
本系列后续的文章将会涉及挖掘数据的其他方法，包括群集、最近的邻居以及分类树。
A new sampling method is proposed, which USES the latest technologies of database. It applies classification rule mining, clustering rule and outlier mining to the management of Audit Risk.
一种新的抽样方法是把数据挖掘技术中的分类、聚类及离群点挖掘等应用到审计风险管理中去。
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。
Data Mining mainly studies on research Generalization Knowledge, Association Knowledge, Classification Knowledge, Clustering Knowledge, Prediction Knowledge, and Deviation Knowledge.
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。
Cluster retrieval method can produce classification of similar data through clustering, and data searching is processed based on this. It can effectively enhance the data retrieval efficiency.
聚类检索通过聚类产生相似数据的分类，并以此为基础进行数据查询，从而提高数据检索的效率。
This paper firstly introduces the classification of incremental clustering algorithms and the research state, defines the concept of algorithm equivalence.
本文首先介绍了增量聚类算法的分类以及研究现状，提出了增量聚类算法等价性概念；
Automatic classification comprises three sections, i. e. automatic clustering, automatic grouping and automatic convertion of class number.
自动分类包括自动聚类、自动归类及类号间的自动转换三个方面。
Data mining always faces complicated tasks that including classification, prediction, association rule discovering and clustering, etc.
数据挖掘面对的任务是复杂的，通常包括分类、预测、关联规则发现和聚类分析等。
The Guizhou Sheldrakes among tne famous Chinese duck breeds were identified using both hierarchical clustering methods and fuzzy classification methods.
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 technique of clustering, classification and abstracting based on AI, and so - called "Knowledge Indexing" technique, seemed as good approaches to solve such problems.
基于人工智能的信息内容的自动聚类、分类和文摘，以及深层次的“知识检索”为迎接这个挑战提供了新的支撑技术。
Layer analysis method is used to do aided engineering decompose, and clustering analysis method is applied to aid classification for interim production.
运用层次分析法对船舶建造进行了辅助的工程分解，运用聚类分析法对中间产品进行辅助分类。
This study, by means of multidimensional scaling and hierarchical clustering, attempts a similar classification of 17 spatial words by the deaf students tested.
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。
In text classification, we advance an automatic text classification way based on clustering and Rough Set Theory.
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。
Clustering analysis is one of the basic methods of the data mining and knowledge finding and it is a non - surveillance data classification method.
聚类分析是在无先验知识无指导下进行数据无监督分类的一种数据挖掘技术。
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.
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 is a scientific computing library with support for multidimensional arrays and linear algebra, required for certain probability, tagging, clustering, and classification tasks.
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。
Moreover, this thesis compares FCA with clustering analysis, and analyzes the similarities and differences of classification based on concept lattice and decision tree.
另外，本文在相关章节对形式概念分析和聚类分析进行比较以及分析总结了基于概念格的分类和决策树分类法的异同。
It applies classification rule mining, clustering rule and outlier mining to the management of Audit Risk.
一种新的抽样方法是把数据挖掘技术中的分类、聚类及离群点挖掘等应用到审计风险管理中去。
Classification based on fuzzy clustering analysis is discussed in order to promote the recycling efficiency, discarded freezers are taken as a case study, and reasonable classifications are obtained.
为了提高废旧产品的回收效率，提出了基于模糊聚类分析的成组分类回收方法，并对冰柜产品进行实例分析，得到冰箱、冰柜类产品合理分类。
This article has also put forward the key procedure and method how to set up high-precision and high-efficiency classification model, regression model and clustering model with the system.
本文还重点提出了利用该系统建立精度好、效率高的分类、回归及聚类模型关键流程及方法。
Many built-in methods for clustering, machine learning and classification are provided for dissecting complex datasets.
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。
In addition, introduces the principles of using clustering approach on customer classification and the details about step of the calculation.
详细介绍了用聚类方法进行客户分类的原理及具体计算步骤。
In addition, introduces the principles of using clustering approach on customer classification and the details about step of the calculation.
详细介绍了用聚类方法进行客户分类的原理及具体计算步骤。
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