k means method

 
  • 逐步聚类法

K means method的用法和样例:

例句

  1. Fuzzy K means clustering algorithm can segment white matter,gray matter and CSF better from the MR head images.
    模糊K- 均值聚类算法能很好地分割出磁共振颅脑图像中的灰质、白质和脑脊液。
  2. 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 ;
  3. The accumulated temperature of Anshan was analyzed by linear trend analysis, moving mean method, Mann-Kendall method and wavelet analysis, and so on.
    摘要采用鞍山市积温资料,利用线性倾向估计、滑动平均、突变M-K检验、小波分析等方法对鞍山市积温变化进行初步分析。
  4. Firstly,a modified fuzzy C means method is used on the RGB color space to identify senile plaques and neurofibrillary tangles in microscopic image of the hippocampus separately.
    利用改进的模糊C均值算法对彩色图像的颜色信息进行聚类,分别提取了老年斑和神经元纤维缠结目标。
  5. The water droplet diameter in diesel emulsion was characterized with microphotography and arithmetic statistic mean method.
    利用显微摄像技术及算术统计平均的方法表征柴油乳化液水滴粒径。

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