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

基于图像内容检索的模糊c均值聚类，在matalb中的实现-Realization of fuzzy c-means clustering, based on image content retrieval in matalb

基于欧几里得距离的聚类分析，一种基于多文档得图像合并技术，cordic算法的matlab仿真。- Clustering analysis based on Euclidean distance, Based on multi-document image obtained combining technique, cordic matlab simulation algorithm.

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.