Finally, our system is analyzed and evaluated in a "SYN flood" environment, and a method of applying clustering to anomaly detection is added to improve its performance.
最后，本文对系统模型应用于网络拒绝服务攻击环境的实例进行了分析，并提出了一种应用聚类分析对系统的改进方法。
Fuzzy clustering is associated with comprehensive assessment in the study of sorting when the number of object is large, and we improve the method of setting up fuzzy similar matrix.
探讨了聚类分析这一重要的数据挖掘方法在综合评价中的应用，将模糊聚类与综合评价相结合以解决待评价方案数较多的排序问题，并且文中还改进了建立模糊相似矩阵的方法。
This algorithm combined the fuzzy clustering of multi-dimensional data with CTWC. Furthermore, it introduced the norm-based method to improve and prove reasonable.
该算法把多维数据的模糊聚类方法与CTWC相结合，并引入基于范数的方法进一步对该方法加以改进和论证。
The experiment results have shown that the hybrid clustering method can improve the document clustering performance.
实验结果表明，该聚类组合算法能改进文档聚类的性能。
Then the simplified method of kernel clustering was used to reduce the computational complexity and improve the robustness of algorithm.
采用核聚类简化的方法降低计算复杂度，提高算法的鲁棒性。
To improve the diversity of similar cases, similarity retrieval method based on partitioned clustering and General Fuzzy Min-Max neural network is developed.
为解决相似案例差异性问题，提出了基于划分聚类和模糊神经网络的设计案例相似性检索方法。
In order to improve IDS's ability of generalization for knowledge of intrusion, a method is put forward that applies fuzzy clustering to obtain hierarchy generation for intrusion feature set.
为了提高入侵检测系统对入侵特征知识的归纳和概括能力，提出了将一种基于模糊等价关系的动态聚类方法应用于对入侵特征集进行层次聚类。
Research on the interpretability has not got enough attention. This paper proposes a method of interpretable modeling based on fuzzy clustering in order to improve the interpretability of fuzzy model.
本文针对模糊建模过程中，系统的可解释性得不到保证的问题，提出一种基于模糊聚类的可解释性建模方法。
A clustering segmentation algorithm based on an improved K-means clustering method is used to improve the efficiency and accuracy of 3d medical image segmentation.
为提高三维医学数据场的分割效率和准确率，本文利用特征聚类技术，提出了一种新的基于改进K - means聚类的三维医学数据场的体分割算法。
A clustering segmentation algorithm based on an improved K-means clustering method is used to improve the efficiency and accuracy of 3d medical image segmentation.
为提高三维医学数据场的分割效率和准确率，本文利用特征聚类技术，提出了一种新的基于改进K - means聚类的三维医学数据场的体分割算法。
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