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。
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