The modified kernel clustering algorithm is faster than the classical algorithm in convergence and more accurate in clustering.
该聚类方法在性能上比经典聚类算法有所改进，具有更快的收敛速度以及较高的准确度。
An algorithm of Gaussian kernel clustering is proposed by analyzing kernel mapping theory.
通过研究核映射机理，提出了用于聚类分析的高斯核聚类算法。
An kernel clustering intrusion detection approach based on outlier detection is presented in this paper.
提出了一种基于孤立点检测的核聚类入侵检测方法。
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。
Due to the problems of infrared image segmentation using fuzzy kernel clustering, an improved method for infrared image segmentation was proposed.
针对模糊核聚类对红外图像分割存在的不足，提出了一种改进的模糊核聚类红外图像分割算法。
By means of analyzing kernel clustering algorithm and rough set theory, a novel clustering algorithm, rough kernel k-means clustering algorithm, was proposed for clustering analysis.
通过研究核聚类算法，以及粗糙集，提出了一个新的用于聚类分析的粗糙核聚类方法。
The experimental results show that the proposed algorithm is superior to the improved kernel clustering algorithm and K-means in good astringency, stability and overall optimal solutions.
实验结果表明，使用该算法的聚类比改进的核聚算法、K均值算法等单一方法具有良好的收敛性、稳定性和更高的全局最优。
The experimental results show that the proposed algorithm is superior to the improved kernel clustering algorithm and K-means in good astringency, stability and overall optimal solutions.
实验结果表明，使用该算法的聚类比改进的核聚算法、K均值算法等单一方法具有良好的收敛性、稳定性和更高的全局最优。
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