KNN算法分析及研究，将训练元组和测试元组看作是n维（若元组有n的属性）空间内的点，给定一条测试元组，搜索n维空间，找出与测试元组最相近的k个点（即训练元组），最后取这k个点中的多数类作为测试元组的类别。-Yuan KNN algorithm analysis and research, the training set and test set as a n d have the n properties (if a tuple) within the space of points, giv

KNN和贝叶斯文本分类，代码有点多，在运行的时候要提供训练文本-KNN and Bayesian text classification, code a little more run time to provide training text

程序是对手写体数字进行识别，用knn算法，代码编写是用java。训练样本和验证样本都在代码中提供了。-The program is to handwriting figures to identify, with knn algorithm, the code is written with java. Training samples and validation samples are provided in the code.

用java编写的手写体数字识别，采用knn方法，识别的训练和测试对象来自mnist数据库的数据，已经将解压后文件放进去了，算法包括文件的读取，测试部分还有识别算法。 -Written by java handwriting digital recognition, using knn method to identify the training and test objects the mnist data, has been extracted after the file into t