| 1. | And it adds a - priori information into the patterns to change the method as a semi - supervised clustering . in the clustering process , the unlabelled patterns compare similarities with the labeled patterns , and then the accuracy of the algorithm can be increased . ( 3 ) the paper proposes an interactive learning - based image mining in remote sensing
由于遥感图像各类别在特征空间中散点图的分布的特点,本文对传统的fcm聚类算法进行改进,并且加入先验信息之后,将原来的非监督的聚类变成一种半监督的聚类方法,通过与已标签的样本进行相似性比较,能有效地提高聚类算法的准确度。 |
