使用HMM和KNN对角膜数据进行分类
Use HMM and KNN for classifying corneal data
摘要：
近年来，如何获得能够对复杂模式进行高精度分类的分类系统，在医学和工业中有着重要的意义。在这篇文章中，一个过程中得到最好的分类LASIK数据的建议。但首先尝试用该分类器寻找最佳直线和曲线，以获得分类器拟合，最后用马尔可夫方法得到地形分类器。
英文摘要：
These days to gain classification system with high accuracy that can classify complicated pattern are so useful in medicine and industry. In this article a process for getting the best classifier for Lasik data is suggested. However at first it's been tried to find the best line and curve by this classifier in order to gain classifier fitting, and in the end by using the Markov method a classifier for topographies is gained.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
