As CFCM algorithm provides good classification resolution but the selecting of initial vectors is of great difficulty and blindness.
CF CM算法具有良好的分类精度，但其初值的选取却是非常困难的。
At the first step, an improved SFCM algorithm is adopted for coarse segmentation and its result serves as initial vector for the fine segmentation by CFCM at the second step.
本文所给算法第一级采用改进的SFCM算法，其结果作为第二级聚类的初值；第二级采用CFCM算法细分。
In this paper, an improved FCM algorithm (CFCM) is given, through which the lost information of in-complete-data images can be restored, while edge-detection of images is accomplished.
本文利用改进的模糊聚类算法，依据邻域信息实现了对丢失图像信息的恢复，并完成了对该图像的检测。
In this paper, an improved FCM algorithm (CFCM) is given, through which the lost information of in-complete-data images can be restored, while edge-detection of images is accomplished.
本文利用改进的模糊聚类算法，依据邻域信息实现了对丢失图像信息的恢复，并完成了对该图像的检测。
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