| 1. | Parallel fuzzy clustering algorithm for interval data
区间数据的并行模糊聚类算法 |
| 2. | Fusion approach for data association based on fuzzy cluster algorithm
基于模糊聚类的数据关联融合算法 |
| 3. | Application of fuzzy clustering algorithm on data mining platform
基于数据挖掘平台的模糊聚类算法及应用研究 |
| 4. | 3 . the thesis discusses the fuzzy clustering algorithm based on attribut . 4
对基于属性的模糊聚类算法进行了比较详细的讨论。 |
| 5. | Second , in view of the fuzzy and stochastic characteristics of the human vision system , we studied fuzzy clustering algorithm
然后，根据人类视觉中的模糊性和随机性，对模糊聚类算法进行了研究。 |
| 6. | 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。 |
| 7. | A novel fuzzy clustering algorithm named progressive constructive fuzzy clustering ( pcfc ) was presented , which was used in the application of image compression
摘要为了设计最化码书，提出了一种新的渐进构造模糊聚类( pcfc )算法，并将其应用到图像的矢量量化中。 |
| 8. | Fuzzy clustering algorithms are an important part of fuzzy set theory , and they are one of the fields that fuzzy set theory applied widest , and the achievements are very fruitful
模糊聚类算法是模糊理论中的一个重要的分支，是现今模糊理论中应用最广泛的领域之一，并取得了丰富的成果。 |
| 9. | It explains how to building expert system with a neural network , virtual instrument and fuzzy cluster algorithm . at the last of the paper , the write shows an example of the development for such a system
对于专家知识的获取和知识的系统应用是一种很好的尝试，较好的解决了知识获取的窄瓶颈问题。 |
| 10. | The experimental results show that the method can not only detect the fuzzy edge and exiguous edge correctly , but also improve the searching efficiency of fuzzy clustering algorithm based on tea evidently
实验结果表明，该算法不仅具有很强的模糊边缘和微细边缘检测能力，而且可以提高基于人工免疫进化算法的模糊聚类算法的搜索效率。 |
