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- K nearest feature line K最近特征线
- The classification mechanism of dual range subspace (DRS) using the nearest feature line is analyzed in detail. 摘要研究分析了双距离像子空间的分类机理，并介绍了所采用的最近邻特征线判别规则。
- Moreover, the shortcoming of the nearest feature line that it is sensitive to the method of feature extraction is pointed out. 指出了最近邻特征线判别规则的不足之处，即最近邻特征线敏感于特征提取方法。
- With the inspiration of the basic design philosophy of the nearest feature line (NFL) classi-(fier),the geometrical concept of line is generalized to plane and space. 受最近特征线分类器的基本设计思想启发;将最近邻法向平面和空间推广;提出了原点无关最近特征平面和原点无关最近特征空间分类器.
- Based on the simply analysis of the advantages of the early ear recognition methods，an ear recognition method combining locally linear embedding（LLE） and the nearest feature line（NFL） are proposed. 针对人耳生物特征，通过分析早期人耳识别方法的不足，提出了一种局部线性嵌入（LLE）和最近特征线（NFL）相结合的人耳识别方法。
- 9.With the inspiration of the basic design philosophy of the nearest feature line (NFL) classi-(fier),the geometrical concept of line is generalized to plane and space. 受最近特征线分类器的基本设计思想启发;将最近邻法向平面和空间推广;提出了原点无关最近特征平面和原点无关最近特征空间分类器.
- nearest feature line 最近特征线
- Nearest Feature Line (NFL) 最近特征线
- Four different feature selection methods are discussed,including Document Frequency(DF),Mutual Information(MI),X2 test(CHI),Correlation Coefficient(CC),and the correction of text categorization is compared using the algorithm of K nearest neighbor. 考察了文档频率DF、互信息MI、CHI统计、CC统计四种不同的特征选择方法;并结合K近邻算法进行分类精度上的比较.
- Nearest Feature Line(NFL) 最近邻特征线分类器
- We'll have special offer in the near feature. 近期内我们将提供优惠折扣。
- K nearest neighbor classification code, with input and output and procedures for use. 最近邻分类的代码，附有输入输出和程序使用说明。
- Fisrt, K nearest method (K-NN) is applied to construct fuzzy membership. Then, the TSA results are given by C++ programming. 在仿真过程中，采用K最近邻方法(K-NN)用于构建模糊隶属度，C++编程实现TSA。
- This technology which combines Decision Trees and K Nearest Neighbor, can mine the relative similarity of latent-item in the course of case search. 该方法将决策树法和近邻检索法等数据挖掘技术相结合，对事例检索过程中必需的特征项相似度进行挖掘。
- This paper presents a modified K nearest neighbor(MK NN) track correlation algorithm applying to distributed multisensor data fusion. 提出一种适合于分布式多传感器数据融合的新的航迹相关算法（MK-NN）。
- We also extend BANNS to process All-k-Nearest-Neighbor queries which means given two sets of spatial objects A, B, find each object in A its k nearest neighbors in B. 综上，我们研究了道路网络中的多对象最近邻查询问题，提出一个新颖的查询处理算法BANNS，并对其进行了扩展。
- In this paper, we address the issue of KNN (K Nearest Neighbor) query and try to add a little important geographic data on Hilbert Curve Index Structure. 空间查询一直以来是资料库领域的研究议题，所发展出来树状的索引资料结构，并不适用于无线广播系统。
- The algorithm combines genetic algorithms and2-opt local search opti-mization,in order to speed up the computation,K Nearest Neighbors Sets is proposed to decrease the search space ac-cording to the characteristic of TSP. 该算法结合遗传算法和2-opt邻域搜索优化技术,并针对旅行商问题的特点,提出K近邻点集以缩减搜索空间从而加快求解速度。
- The daemon name on the appropriate feature line is not the same as the daemon name on the daemon line. 该进程的名称的特征线是不一样的，作为进程名称提出的守护特征线。
- Improved KNN-SVM that combined Support Vector Machine（SVM） with weighted K Nearest Neighbor（KNN） is presented to improve the accuracy of gender recognition nearby SVM hyperplane. 摘要 针对支持向量机（SVM）在超平面附近进行性别识别的不准确性，引入进行加权的K近邻（KNN）算法。
