fuzzy kernel clustering algorithm 模糊核聚类算法
Fuzzy Kernel-clustering Algorithm 模糊核聚类算法
Two-phase Weighted Fuzzy Kernel-clustering Algorithm 两阶段加权模糊核聚类
Kernel fuzzy clustering algorithm 核模糊聚类算法
fuzzy kernel C-means clustering algorithm 模糊核C
Kernel-Based Fuzzy C-Means Clustering Algorithm 核函数模糊C均值聚类算法
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。
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。
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