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knn的意思
1、K近邻;K最近邻;K-近邻;K近邻算法;铌酸钾钠
knn的双语例句
1、For the former, a processing measure based on strategy pattern is offered, which achieves three kinds of algorithm: simple processing, KNN and DTB.
针对缺损数据提出了基于策略模式的缺损数据处理方法,该方法利用具体的策略类实现了简单处理、KNN和DTB三种缺损数据处理算法;
2、In this paper we present a large margin feature weighting method for k-nearest neighbor ( kNN) classifier.
我们的工作是,针对k近邻分类器提出一种大边界特征加权算法。
3、This method first calculated the degree matrix of membership using the fuzzy KNN method.
该方法首先通过基于模糊的KNN方法求出隶属度函数矩阵;
4、K Nearest Neighbor ( KNN) Method Used in Feature Selection
用于特征筛选的最近邻(KNN)法
5、In this paper, we proposed an automatic keyword extraction method based on KNN method.
本文利用K最近邻方法的思想,提出了一种基于K最近邻的关键词自动抽取方法。
6、It plays an instructional role in academic study and practical application of KNN text classification algorithm.
对KNN文本分类算法的理论研究和实际应用起了指导作用。
7、The traditional method about KNN is generally used Euclidean distance formula to measure the distance between the two samples.
传统的KNN算法一般采用欧式距离公式度量两样本间的距离。
8、K nearest neighbor ( kNN) query is one of the fundamental issues in spatial database research area.
k最近邻居问题(kNN)是空间数据库研究领域最基本的问题之一,是指在特定空间中寻找离查询点最近的k个目标点,包括几何空间,道路空间等。
9、KNN ( K nearest neighbors) is one of the best text categorization algorithms based on Vector Space Model.
K近邻算法是基于向量空间模型的最好的文本分类算法之一。
10、In the paper, what is the typical sample of KNN is analyzed, and a method of samples selection based density is presented.
论文针对KNN这种常用的文本分类方法,分析了什么是它的典型样本,提出了一种基于密度的样本选择算法。
11、The results are compared with the genetic algorithm in combination with the k-nearest neighbor ( KNN) classification rule.
最后,将比较的结果再与基因演算法结合k个最近邻法进行比较。
12、To improve the classification performance, this article puts forward the multi level feature selection method and the kernel based distance weighted KNN algorithm.
为了提高分类性能,本文提出了中文文本多层次特征提取方法和基于核的距离加权KNN算法。
13、You can change the" KNN"( K-nearest neighbors) to be anything you want.
可以任意更改“KNN”(K-最近邻)。
14、KNN is one of top performers, and it performs well in scaling up to very large and noisy classification problems.
KNN是最性能最优的方法,它在处理增加到非常大和杂乱的问题时成效最显著。
15、AIRS results in the memory cell pool after it is trained and classifies the original antigens by KNN.
AIRS通过训练产生记忆细胞池,利用最近邻原理对原始抗原分类。
16、Especially, it discusses some key techniques such as web page classification model, purity of web page, weight of feature, KNN classification.
描述了一个完整的中文网页分类系统的设计和实现过程,重点介绍了网页分类中的网页净化、特征加权、KNN分类等关键技术。
17、One search Model is based on BP neural network and another based on K-Nearest-Neighbor ( KNN) algorithm, a dynamic weight tuning algorithm is proposed.
基于BP神经网络的检索模型和基于最近邻居法的检索模型,并给出了一种权重动态调节方法;
18、Improved KNN algorithm by using the combination technology, and applied it to the forecast of non-mining fracture of shaft-lining of mine.
利用组合技术对KNN算法进行改进,并将其应用于煤矿立井井筒非采动破裂的预测。
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