搜索资源列表
KNNSOURCECODE
- 用KNN实现资源分类，代码可扩展性强，而且很有条理-KNN Classification of resources used, code scalability, but also very structured
KNN-ALGORITHM
- Java,knn,是一牛人写的关于knn算法的实现方式。算法逻辑性强，条理清晰-Java, knn, is a cow who was on the way to achieve the knn algorithm. Algorithm logic is strong, the clarity of
KNN
- K最近邻(K-Nearest Neighbor，KNN)分类算法，是一个理论上比较成熟的方法，也是最简单的机器学习算法之一。-KNN algorithm
text_category
- 中文自动分类。使用spider抓取网络信息，利用lucene的分词及KNN方法。-Chinese automatic classification. The use of spider crawl network information, the use of Lucene sub-word and KNN methods.
gaknn2008-12-08
- 本算法是实现基于KNN的基因遗传算法，是对KNN算法的改进，具有更好的分类效果。-gaKnn[Genetic Algorithm Optimized K Nearest Neighbor Classification framework] is a frameowork for KNN optimization with a genetic algorithm.
knnrfid
- KNN. K- Neighbor Nearest Algorithm
KNN0.0_0.0
- 这是用java实现的KNN算法分类器 实现了机器的自动学习与文本自动分类 仅供学习使用-This is a java implementation of the KNN algorithm with classifier achieved the automatic machine learning and text categorization learning to use only
KNN
- 用java实现的knn算法,并在测试数据上进行了测试-using java to implement the knn algorithm
knn
- java语言实现的KNN算法代码。 KNN就是K最近邻(k-Nearest Neighbor，KNN)分类算法-java language code of the KNN algorithm. KNN is a K-nearest neighbor (k-Nearest Neighbor, KNN) classification algorithm
KNN
- 最邻近节点KNN算法的java编程实践，能够实现分类-Nearest node KNN algorithm java programming practice, be able to achieve the classification
KNN--Java
- KNN 算法java实现 可以直接用哦-The KNN Algorithm java can be directly used oh
KNN
- Algorithm KNN programming in Java
经典的KNN算法
- 这个是用java语言写的KNN算法，我们老师花了一段时间写的，非常的使用，对于优化类的算法很有帮助。
knn
- 分别利用java和C++实现的KNN文本分类算法，每个程序模块都有详细注释-Respectively, the use of java and C++ implementation of KNN text classification algorithm, each program module has detailed notes
kNN-master-JS
- KNN implementation in perl java
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.
java-knn-2
- java knn implementation simple
KDTree的Java代码
- 是对于KNN算法中KD树的构造的源码，主类中有测试数据可自行修改，包括注释
数据挖掘3
- 本实验主要包括了数据挖掘的ID3和 KNN算法。(This report is manily about the Data Mining algorithm, includes the ID3 algorithm and KNN algorithm.)
knn
- 通过比较欧氏距离，定义K值，实现了机器学习中的KNN算法(By comparing Euclidean distance, we define the K value and realize the KNN algorithm in machine learning.)