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Classifier4J-0.6-dist
- Classifier4J是一个很好的基于java的分类器,里面有Native bayes和KNN等方法的文本分类.另外还 提供了分词和自动摘要等功能
co-training
- 半监督学习co-training 回归算法的java代码实现。-COREG is a co-training style semi-supervised regression algorithm, which employs two kNN regressors using different distance metrics to select the most confidently labeled unlabeled examples for each other.
jKNNNSOURCECCa
- java 实现KNN文件分类器的源码javva 实现KNN文件分类器的源码 -java source javva KNN classification of documents to achieve the source code of the KNN classification of documents
JSvmLib
- SVM的java算法实现。可以跑通。support vector manchine and kNN分类的源代码.支持向量机是数据处理的比较良好的方法-The java SVM algorithm. You can run through.
java_KNN
- 实现了KNN文本的分类，KNN最近邻基于欧几里德距离的JAVA算法实现适用于初级学习KNN的初学者。-Realization of KNN text classification, KNN nearest neighbor JAVA algorithm for Euclidean distance implementation is applied to the primary learning KNN beginners based on.
KNNDemo
- KNN算法Java语言实现，控制台运行界面。分类训练样本集和测试样本都有。-Java KNN language implementation, the console running interface. Classified training samples and test samples are.
MLKNN
- 针对单标记学习算法KNN进行改进，适用于多标记数据集改造而成的多标记K临近算法。java代码-Improved learning algorithm for single marker KNN, suitable for multi-label data sets adapted multi-label K near the algorithm. java code
代码
- 基于Java的模式识别算法，包括ID3，KNN，NB等源程序(A pattern recognition algorithm based on Java)