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。
In this paper, we proposed an automatic keyword extraction method based on KNN method.
众所周知，K最近邻方法作为机器学习领域的一个经典的方法，在很多领域都有出色的表现。
As we all know, KNN method is a classic method in machine learning field and is also well used in many other fields.
而支撑点仅占全部训练样本的一部分，所以相比最近邻方法具有较小运算量和存储量的优点。
Comparing with the nearest neighbor method, the presented method needs less cost and memory space as the representative samples are only a little part of the training set.
然后对人脸图像做奇异值分解和离散傅立叶变换，并分别提取最佳鉴别变换特征，用最近邻方法进行分类。
The optimal discriminant features of face are extracted using singular value decomposition and Fourier transform, and then they are classified by the nearest neighbor method. In...
在对LF M信号实现分选的基础上，选取待识信号的瞬时频率作为识别特征，利用最近邻方法对信号进行识别。
Supposing the LFM signals had been sorted and selecting the instantaneous frequency as identification character, the closest method is used to distinguish the signals.
在本文中，我会反复提及称为“最近邻”的数据挖掘方法，但我不会过多地对其进行剖析，详细的介绍会在第3部分给出。
In this article, I will also make repeated references to the data mining method called "nearest neighbor," though I won't actually delve into the details until Part 3.
基于一种用于混合属性数据的距离定义和改进的最近邻分类方法，提出了一种基于聚类的有指导的入侵检测方法。
A clustering-based and supervised intrusion detection method was proposed with new distance definition for mixed-attribute data and improved nearest neighbor classification method.
为最近邻媒体中心的概念方法是设计一个建筑，体现了美德和青春活力，在最近邻的报告描绘的丰富经验。
The conceptual approach for the KNN Media Center is to design a building that embodies the virtue and youthful energy depicted in KNN's vast experience of reporting.
由于计算机病毒检测的不可判定性，提出了一种基于改进的K最近邻检测方法来实现对计算机病毒的近似判别。
Because precise determination of a computer virus is undecidable, a method based on improved K-nearest neighbor to detect computer virus approximately is presented in this paper.
研究了模式识别中的特征选择方法，采用最近邻分类正确率作为特征选择的性能评价函数。
The paper studies the methods of feature selection in pattern recognition, and USES nearest neighbor classification accuracy as the evaluation criteria for feature selection.
该文还介绍了三种查询方法：空间选择查询、空间连接查询和最近邻居查询。
The paper presents three methods of spatial queries: spatial Select Query, spatial Joint Query, and Nearest Neighbor Query.
将该方法与K—最近邻判决规则结合，提出了用于判别的固定邻域判决算法。
Combining this method with the K-nearest neighbor decision rule, a fixed neighborhood, decision algorithm is developed.
该方法首先利用核主元分析对人脸图像进行特征提取，然后依据支持向量机与最近邻准则对所提取的核主元特征进行分类识别。
Firstly KPCA is used to extract the features of human face image, and then SVM combined with the nearest distance rule is used for classification, which depends on the kernel principal components.
针对混沌时间序列的最近邻域预测法，提出了改进的最近邻域点优化选择方法和加权一阶局域线性预测法。
Optimal choice method of the nearest neighboring points and adding weight one-rank local region method is introduced on the nearest neighboring forecasting method of chaotic time series.
这主要是因为算法使用了K-近邻方法来求解最近邻点。
The reason is that the algorithm searches the nearest neighbor points with K-nearest neighbor.
通过最近邻选择策略保证了灰关联方法可以在一个较小且包含最优解的解空间中进行搜索。
The strategy of nearest neighbourhood selection assures the grey correlation can search in a solution space which is fairly small but with optimal solution.
实际的生物学数据实验表明该方法性能优于单个神经网络，最近邻法和决策树。
Real biological data experiments have shown that this classification method outperformed than single neural networks, 1-nearest-neighbor classifiers and decision trees.
针对这个缺点，提出了一种改进的、基于自适应最近邻法的局部线性嵌入方法，数值实验证明算法对于有监督的学习问题，具有较好的适应性。
An adaptive nearest neighbor locally linear embedding algorithm is proposed to overcome this shortage. Experiment results show that the algorithm ADAPTS well the supervised learning problems.
第一种方法基于加权近邻搜索，在不规则光幻视点阵列中找出距规则阵列中目标点最近点；
One method was to generate phosphene closest to the target point in regular arrays using weighted nearest neighbor search.
该方法以球坐标系中三通道解耦自适应卡尔曼滤波为基础，结合最近邻（NN）方法或概率数据关联滤波（PDAF）方法实现杂波中的机动目标跟踪。
Based on adaptive Kalman filter in polar coordinates, the algorithm was implemented with NN method and PDAF to fuse sensors in clutter.
该方法以球坐标系中三通道解耦自适应卡尔曼滤波为基础，结合最近邻（NN）方法或概率数据关联滤波（PDAF）方法实现杂波中的机动目标跟踪。
Based on adaptive Kalman filter in polar coordinates, the algorithm was implemented with NN method and PDAF to fuse sensors in clutter.
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