因此，在本论文中，我们采用模糊信息 处理的方法来解决不确定性，利用三维空间的模糊聚类算法（Fuzzy cluster algorithm）来对不同工业物料进行识别。
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fuzzy K-means cluster algorithm 模糊尺均值聚类
Fuzzy Cluster Mean Algorithm 模糊均值成簇
fuzzy c-means cluster algorithm 模糊c均值聚类算法
fuzzy c means cluster algorithm 模糊c均值聚类算法
So we designed a new rapid fuzzy cluster algorithm, which has an approximately linear process speed and higher cluster precision.
为此我们在开发中提出了一种新的快速模糊聚类算法，它具有准线性的处理速度和较高的聚类精度。
参考来源 - 聚类分析及其在农业物种信息自动提取中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
This procedure in the realization of fuzzy cluster analysis algorithm to achieve through the recursive classification.
本程序实现模糊数学中聚类分析算法，该算法通过递归来实现分类。
Two factors are considered in cluster-validity criterion to enhance the robustness of algorithm and the validity of clustering, one is fuzzy membership and the other is geometric property.
新的目标准则函数考虑了数据集样本的模糊隶属关系和样本几何分布两个方面的因素，使算法的鲁棒性和分类的正确性大大加强。
This paper proposes a modified fuzzy C-means (MFCM) clustering algorithm to cluster all images before retrieval.
论文采用了一种基于改进的模糊C均值算法来聚类图像。
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