阐述了聚类分析的原理和方法。
The method and principle of clustering analysis are expounded.
数据处理后,进行快速聚类分析。
The data after processing were taken quick cluster analysis.
聚类分析是无需指导学习的重要方法。
Clustering analysis is an important method of study without instructions.
聚类分析是数据挖掘的主要技术之一。
Cluster analysis is one of key technologies for data mining.
本文采用因子分析和聚类分析的方法。
We use factor analysis and cluster analysis methods in this paper.
聚类分析是认识事物的基本途径之一。
Clustering analysis is one of the basic ways to understand things.
聚类分析是数据挖掘的一个研究热点。
Clustering analysis is a hot topic in the research of data mining.
基于卫星云图的聚类分析。
本文提出一种新的DEA聚类分析方法。
聚类分析的结果进一步印证了这一结论。
聚类分析的结果与成分分析的结果相同。
Cluster analysis had the same results as composition analysis.
而聚类分析是数据挖掘中很重要的分析手段。
Clustering Analysis is one of the most important technologies in data mining.
聚类分析在数据挖掘研究中占有重要的位置。
Clustering analysis is an important part of the Data Mining research.
在聚类分析中应用的有关模糊集理论理论基础。
The theory foundation about fuzzy set theory in cluster analysis application.
本文介绍一种基于非线性映射的聚类分析方法。
This paper introduces a method of gathering analysis in view of nonlinear mapping.
本文将聚类分析方法引入到信用卡申请分析中。
This paper introduce cluster analysis method to the analysis of credit card applications.
谱聚类是文本聚类分析较常用的一种新型方法。
研究模糊聚类分析在医学图像数据挖掘中的应用。
To study the application of fuzzy cluster analysis for medical image data mining.
聚类分析的概述。
通过聚类分析,发现舌、脉、主症聚类有明显规律。
Obvious disciplinarian was found of tongue, pulse and main symptoms through cluster analysis.
聚类分析是数据挖掘的一个非常重要的研究分支。
Cluster analysis is one of the important themes in data mining.
聚类分析方法是土壤研究中的一种合理有效的新方法。
Clustering analysis is a new, reasonable and effective method in soil study.
在数据挖掘领域中,聚类分析是一项重要的研究课题。
Cluster analysis is an important research problem in the domain of data mining.
并对数据进行聚类分析,分析结果与因子分析结果一致。
The factor analysis and clustering analysis result to be consistent.
在这种情况下,聚类分析作为一种数据分析工具应运而生。
The clustering analysis, as a kind of data analysis tool appeared in this case.
在经典的聚类分析中,度量差异性的指标是距离的简单函数。
In classical clustering analysis, the dissimilarity is only simple function of distance.
在智能系统的研究与开发中,聚类分析是一个非常重要的问题。
In the research and development of intelligence system, clustering analysis is a very important problem.
统计分析方法主要有主成分分析法、聚类分析法、雷达图法等。
Statistical methods include principal component analysis, clustering analysis and radar map method.
在对案例库进行聚类分析的基础上,讨论了新案例库的构建问题。
Followed the clustering analysis for case base, the construction of a new base is discussed.
使用传统的聚类分析对股票市场进行分析时,往往忽视了时间因素。
In traditional stock market analysis using cluster method, time factor was usually neglected.
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