说明：   使用本章学习的K－平均算法，以颜色分量（或几何性状）作为坐标参数，对景象图进行聚类分析，要求最后的分类结果将路标（可能包括少量相似区域）聚类为一个模式类别。要求给出样本模式点，绘制坐标图（标出各个聚类中心的迭代移动轨迹），绘制算法框图，给出结论。并检查上机结果。
(Use this learn K - average algorithm to color components (or geometric characters) as coordinate parameters, clustering analysis was carried out on the scene graph, for the final classification result will sign (may include a small amount of similar areas) clustering pattern for a category.Ask for sample model, map coordinates (mark iterative moving trajectory of every clustering center), rendering algorithm block diagram, the conclusion are given.And check the computer results.)