摘要
提出了基于主成分的模糊聚类分析方法的明确步骤,并以实际问题为例,验证了此方法的可行性。该方法不仅克服了实际分类问题中的模糊性,同时又克服了由于样本分类指标过多,而引起的计算量增大,特别是由于指标间的相关性可能造成分类不准确等问题。
The clear steps of Fuzzy Cluster Analysis based on PCA are raised in paper.Taking practical problems as example,its feasibility is validated.It not only overcomes fuzzy of the actual classification,but also overcomes the increasing amount of calculation that caused by the excess of sample classification indexes.Particularly,it overcomes the possible classification inaccuracy that caused by correlation between indexes.
出处
《河北联合大学学报（自然科学版）》
CAS
2011年第4期85-88,共4页
Journal of Hebei Polytechnic University:Social Science Edition
基金
唐山师范学院发展基金项目
项目标号:06D02
关键词
主成分分析
聚类分析
模糊聚类分析
principal components analysis
cluster analysis
fuzzy cluster analysis
