k means method

  • 逐步聚类法

K means method的用法和样例:


  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.
  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.
  5. The water droplet diameter in diesel emulsion was characterized with microphotography and arithmetic statistic mean method.

K means method的相关资料:


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