用k近邻法和剪辑近邻法分类样本点，模式识别实验内容之一-K neighbors with neighbors and editing sample points classification, pattern recognition one experiment

模式识别基本方法matlab源代码，包括最小二乘法、SVM、神经网络、1_k近邻法、剪辑法、特征选择和特征变换-Basic method of pattern recognition matlab source code, including the least squares method, SVM, neural networks, 1_k neighbor method, the clip method, feature selection and feature transformati

对“data3.m”数据，采用剪辑法、压缩法生成参考集，近似描绘其决策面，并用所有数据测试其分类效果。-The "data3.m" data, using the clip method, compression method to generate a reference set, approximate portrayed its decision-making surface, and all the data to test their classification.

最小近邻法，融入了多重剪辑法，已通过验证。-Minimum nearest neighbor method, into a multi-clip method, has been verified.