The factor analysis and clustering analysis result to be consistent.
并对数据进行聚类分析，分析结果与因子分析结果一致。
The result of the example shows that the new algorithm can efficiently solve data clustering analysis problems.
通过实例验证，表明该新算法能够有效地解决数据聚类分析问题。
Cluster Analysis is argued to process based on Weighted Distance Coefficient and System Similarity methods to enhance the validity of the clustering result.
提出以加权距离和系统相似度量方法为基础进行聚类分析，提高聚类结果的有效性。
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