| 释义 |
Means algorithm
基本例句
均值算法
And the introduction of the K-HarmonicMeans algorithmcan overcome the initialization-dependence of original spectral clustering and thus a more robust clustering result can be obtained.通过引入K-调和平均算法克服了原始谱聚类算法对初始化的敏感性，从而得到更稳定的聚类性能。
K means algorithm applied in vector quantization strongly depends on the selection of the initial codebook, and if not given a good initial codebook it can easily be trapped in local minima.由于传统的 K-均值算法在用于矢量量化时强烈依赖初始码书的选取 ,如果初始码书选取不好 ,则很容易陷入局部最小点 ;
Improved Fuzzy c- Means Algorithm改进模糊c均值算法
improved Hard C-Means algorithm改进的HCM算法 |