使用C语言实现的一些简单模式识别聚类算法，用于简单的二维坐标系点的聚类。有最短距离算法、K均值算法、近邻算法、fcm算法、最大最小距离算法。-Using the C language implementation of some simple pattern recognition clustering algorithm for a simple two-dimensional coordinate system point of clustering. Has the shortest di

型的类比学习方法是K-最近邻方法,它属于懒散学习法,相比决策树等急切学习法,具有训练时间短,但分类时间长的特点。K-最近邻算法可以用于分类和聚类中(The analogy learning method is K- nearest neighbor method. It belongs to the lazy learning method. Compared with the decision tree learning method, it has the characteristics o