This paper proposes a new DEA cluster analysis method.
本文提出一种新的DEA聚类分析方法。
Cluster analysis is one of key technologies for data mining.
聚类分析是数据挖掘的主要技术之一。
The data after processing were taken quick cluster analysis.
数据处理后，进行快速聚类分析。
Cluster analysis had the same results as composition analysis.
聚类分析的结果与成分分析的结果相同。
Cluster analysis is one of the important themes in data mining.
聚类分析是数据挖掘的一个非常重要的研究分支。
We use factor analysis and cluster analysis methods in this paper.
本文采用因子分析和聚类分析的方法。
So, it is identified that Cluster analysis method is applicable in cla…
研究证明，等级聚合分类在草丛植被分类中是可行的。
The theory foundation about fuzzy set theory in cluster analysis application.
在聚类分析中应用的有关模糊集理论理论基础。
Cluster analysis is an important research problem in the domain of data mining.
在数据挖掘领域中，聚类分析是一项重要的研究课题。
To study the application of fuzzy cluster analysis for medical image data mining.
研究模糊聚类分析在医学图像数据挖掘中的应用。
Obvious disciplinarian was found of tongue, pulse and main symptoms through cluster analysis.
通过聚类分析，发现舌、脉、主症聚类有明显规律。
In traditional stock market analysis using cluster method, time factor was usually neglected.
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。
There are lots of cluster methods applied to the analysis of gene expression data.
常用于基因表达数据分析的聚类方法有很多。
Finally, for the four-cluster solution, the appropriate group profile analysis is generated.
最后，针对于四个集群的解决方案，我们产生了合适的集团范本。
Finally, for the four-cluster solution, the appropriate group profile analysis is generated.
最后，针对于四个集群的解决方案，我们产生了合适的集团范本。
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