After clustering analysis by the improved FCM, the obtained cluster centers as input samples is used and then the principal component images can be obtained based on KPCA.
首先利用改进的FCM进行聚类分析，然后将获得的聚类中心作为输入样本，进行KPCA，从而得到主成分图像。
In this case, principal component scores can be used as input to clustering programs.
在这种情况下，主成分得分可以用作输入到聚类的节目。
Furthermore, the principal component scores can and should always be used to help validate the results of clustering programs.
此外，通过主成分得分可以而且应该总是被用来帮助验证了结果的聚类的节目。
Statistical methods include principal component analysis, clustering analysis and radar map method.
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。
One for clustering toolbox, with principal component analysis, fuzzy techniques, such as Matlab source code and application procedures for Demo.
一个用于聚类的工具箱，内有主元分析、模糊等技术的Matlab源代码和应用实例程序Demo。
One for clustering toolbox, with principal component analysis, fuzzy techniques, such as Matlab source code and application procedures for Demo.
一个用于聚类的工具箱，内有主元分析、模糊等技术的Matlab源代码和应用实例程序Demo。
应用推荐