In this project ,we propose a color based segmentation method that uses the c means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means means to

用MATLAB实现动态聚类或迭代自组织数据分析，旋转机械二维全息谱计算，粒子图像分割及匹配均为自行编制的子例程。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, Rotating machinery 2-d holographic spectrum calculation, Particle image segmentation and matching subroutines themse

利用matlab针对图像进行马氏距离计算 ,是小学期课程设计的题目，基于欧几里得距离的聚类分析。- Using matlab to calculate the Mahalanobis distance for the image, Is the topic of the elementary school stage curriculum design, Clustering analysis based on Euclidean distance.