1)KNNK近邻法
1.At last, we recognize the vehicle with KNN.首先对车辆图像进行预处理,然后通过KL变换构造特征车,将样本投影到特征车子空间,得到的投影系数即为待识别车型的代数特征,最后利用K近邻法进行车型识别。
英文短句/例句
1.An Ameliorated SYM Classifying Algorithm Combined with kNN一种改进的结合K近邻法的SVM分类算法
2.An Improved Adaptive K Near Neighbor Clustering Algorithm一种改进的自适应K近邻聚类算法
3.Research on k-nearest NeighBor Search Algorithm in P2PP2P环境中k最近邻搜索算法研究
4.Study on KNN arithmetic based on cluster基于簇的K最近邻(KNN)分类算法研究
5.Prediction of Protein Functions based on K Nearest Neighbors Method基于K近邻的蛋白质功能的预测方法
6.Network Text Classification Based on K-Nearnest neighbor Method基于K-近邻方法的网络信息文本分类
7.Approach for pre-extracting support vectors based on k-NN基于k-最近邻的支持向量预选取方法
8.An application of K-nearest neighbor algorithm for the teaching of web page classificationK近邻算法在教学网页分类中的应用
9.Applied and Study of Two Dimensionality Reduction Based on KNN;基于K-近邻法的两种降维方法应用研究
10.Design and Simulation of Positioning Method Based on k-nearest Neighbors Algorithm基于k-近邻算法的定位方法设计和仿真
11.Iris Recognition Method and Its Implementation Based on k-NN Classification Matching;基于k近邻分类匹配的虹膜识别方法及实现
12.Study on K Nearest Neighbor Queries of Moving Objects Based on Road Networks;基于路网的移动对象K近邻查询方法研究
13.Study on Feature Transformation Algorithm Based on k-Nearest-Neighbor Classification Rule;基于k近邻分类准则的特征变换算法研究
14.Research on K Nearest Neighbors Algorithm under the Indoor WLAN基于K近邻算法的WLAN室内定位技术研究
15.Feature Selection Based on Margin of K-Nearest Neighbors基于K近邻分类间隔的特征选择方法研究
16.Algorithm for Reverse k-Nearest Neighbor Queries in Spatial Network Databases空间网络数据库中反k最近邻查询算法
17.Algorithm of KNNS based on angular similarity一种基于角相似性的k-最近邻搜索算法
18.Two-tier K Nearest Neighbor Algorithm Based on Active Diagnostic Recommendation基于主动诊断推荐的双层K-最近邻算法
相关短句/例句
K-nearest neighborK-近邻法
1.When classifying the disturbances, the linear decision method and K-nearest neighbor method have the same shortcomings: enormous amounts of computation and storage as well as impaired classification accuracy.在对扰动分类时,现有的分类线法和K-近邻法的共同缺点是计算量大和计算存储量大,由此也造成了分类准确率的下降。
3)(K-nearest) neighbor ruleK-近邻法则
4)k-nearest neighbor methodk-近邻方法
1.As the fc-nearest neighbor method is of high classification accuracy and low classification efficiency, a gradual Chinese text classification technology based on the k-nearest neighbor method is proposed.针对k-近邻方法分类准确率较高、但分类效率较低的特性,提出了一种基于k-近邻方法的渐进式中文文本分类技术,利用文本的标题、摘要、关键词、重点段落进行渐进式的分类处理。
5)k NN rulek近邻法则
6)KNNK近邻算法
1.Conventional KNN(K-nearest Neighbor) algorithm requires large computational consumption when training samples are large.为了解决K近邻算法(KNN)在训练样本较大时计算开销很高的问题,提出了一种新颖的基于免疫原理的数值归约方法,并将之应用于车牌颜色的识别。
延伸阅读
近邻法分类 对被识别样本某个给定近邻域中的已知类别的学习样本数量进行统计，并以其中数量最多的那一类作为分类结果的分类方法。对 k个被识别样本的近邻学习样本进行计算时,假设离被识别样本最近的5个学习样本中有3个属于某类,就把被识别样本判别为该类。当k等于1时，就是通常所说的最近邻规则，即被识别样本离哪一类的学习样本最近，就把它分到哪一类（见最小距离分类）。设R1，R2...，R0分别是已知类别的c个学习样本集合，每个集合Rj中有uj个特征向量，用x忋表示，k=1，2,...,uj。在用最近邻规则时,可以定义被识别特征向量y与Rj之间的距离为 式中‖·‖是给定的一种距离度量。分类器把被识别模式分类到d(y, Rj)值最小的那一类中去。当用欧氏距离作为距离度量时，可以证明这种方法实质上是一种分段线性分类器。理论分析表明,当学习样本无限增加时,用最近邻规则分类的结果，其误识率（错分率）不会超过贝叶斯分类器误识率的两倍。
