An improved FCM algorithm is proposed based on the improvement of hybrid color space.
提出一种基于混合颜色空间的改进的FCM算法。
The FCNN is fuzzed by FCM algorithm and improved LMS algorithm is applied to tune the weight of FCNN.
采用模糊C—均值聚类算法对网络进行模糊化，利用改进的LMS算法对网络进行训练。
The standard FCM algorithm is not only extremely time-consuming for clustering large data set, but also more sensitive to noise.
标准的FCM算法对大数据样本集进行聚类时极为耗时，而且对噪声比较敏感。
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