问题描述
我的目标是要实现不同的图像分类方法，以显示他们是如何运作的优势和劣势落后这样的方法。那些我想尝试并实现使用Java包括：
My goal is to implements different image classification methods to show how they function and the advantages and disadvantages behind such methods. The ones I want to try and implement using Java include;
最小距离分类
k近邻分类。
我想知道什么可以用来完成我的任务已经存在于Java的，这样我可以改变算法的运行方式。
I was wondering what can be used to accomplish my task that already exists in Java so that I can alter the way the algorithms operates.
推荐答案
虽然不能完全肯定这是你在找什么（对不起，你的问题是有点不清楚），如果你想要的是一个图书馆/系统，以帮助你用的分类的工作的一部分，那么你可能想看看的Weka（的），在我看来，数据挖掘实验最好的Java库。
Although not entirely sure this is what you are looking for (sorry, your question is a bit unclear), if what you want is a library / system to help you with the classification part of the work, then you may want to look at Weka (http://www.cs.waikato.ac.nz/ml/weka/), in my opinion the best Java library for data mining experimentation.
相反，如果你正在寻找算法，将允许你分析图像，以提取功能，可以反过来被用于执行分类，你可能要开始这种算法在Java中有针对性的说明如那些漂亮的在线图书中的 Java的图像处理食谱的拉斐尔·桑托斯;这里有一个直接链接到一节的监督图像分类的简明教程。
If, instead, you are looking for algorithms that would allow you to analyze images in order to extract features that can, in turn, be used to perform the classification, you may want to start with targeted descriptions of such algorithms in Java, such as those found in the nice on-line book Java Image Processing Cookbook by Rafael Santos; here's a direct link to the section "A Brief Tutorial on Supervised Image Classification".
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