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主要是KNN（the k-nearest neighbor algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface mapping）算法。
and a simple clustering algorithm.
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knn算法的简单实现，需要测试两个文件，一个测试文档，一个是待分类文本-knn algorithm is simple to achieve, you need to test the two documents, a test document, a text is to be classified
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一个简单的knn算法程序，核心算法是基于欧几里得距离，程序在vs2010上调试运行，一点问题都没有，其他环境不知道-A simple knn algorithm program, the core algorithm is based on the Euclidean distance, program debugging run on vs2010, no problem at all, other environments do not know.
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聚类基本算法代码，包含层次聚类，简单聚类，c均值，KNN等-Clustering basic algorithm code, including hierarchical clustering, a simple cluster, c mean, KNN, etc.
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knn算法也是一种简单直接的算法，它对于分类有很大的帮助，也适合初学者学习-knn algorithm is a simple and straightforward algorithm, which is very helpful for classification, also suitable for beginners to learn
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简单贝叶斯，PCA自写函数，自写KNN算法，都能运行，还有一些以后补充。-Simple Bayesian, PCA write function, write KNN algorithm, can run, there are some later added.
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