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- 核K-均值聚类kernel K-means clustering
- 核K近邻分类kernel -based K-nearest neighbor classification
- 快速K均值聚类quick K-means cluster
- K-均值聚类法K - means clustering
- 在这个假定下,我们进一步根据商有向图及核K为C(G,S)的自同构群刻划出了一系列特性。Under this assumption, the present paper further gives a characterization for the automorphism group of C(G,S) in terms of the quotient di-graph and the kernel K.
- 聚类分析cluster analysis
- 基于粗糙集与K-均值聚类的故障知识挖掘Fault Knowledge Ming Based on Rough Set and K-Means Clustering
- 核模糊C均值聚类Kernelized Fuzzy C-Mean(KFCM) clustering
- 聚类核clustering core
- K均值聚类K-means clustering
- K中心点聚类K-medoids clustering algorithm
- 核聚类kernel clustering
- 模糊K-原型聚类fuzzy K-prototypes clustering
- C均值聚类C Means
- 核模糊聚类Kernel fuzzy clustering
- 免疫K-means聚类Immune K-Means Clustering
- 均值聚类K - mean clustering
- 模糊核聚类fuzzy kernel clustering
- 模糊K原型聚类算法Fuzzy K-Prototypes clustering algorithm
- 核聚类算法kernel clustering algorithm
