用最近邻法进行分类和识别。
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.
首先，对经预处理后的序列图像提取SURF特征点，采用最近邻法匹配特征点；
First, SURF features are extracted from preprocessing images and matched by using the nearest neighbor method.
火灾初期大部分为点状目标，在进行重采样时最好采用最近邻法以保证数据准确性。
Fires usually are spot targets and it is better to use the nearest method when resampled.
利用正交匹配跟踪算法求最小零范数解，在变换域中用近邻法判断测试数据的类别。
In the test stage, the sensing matrix is projected onto the test vector, and the minimum l0-norm solution is computed with Orthogonal Matching Pursuit (omp) algorithm.
采用最近邻法设计分类器，并以LIDC库中的结节数据作为样本集，使用留一法进行分类器训练。
Among, the classifier is designed by the nearest neighbor algorithm and trained based on the pulmonary nodules in LIDC as the sample data.
在分类结果比较法的研究过程中，针对城区变化检测的特定问题，改进了经典k近邻法，获得了较好的变化检测结果。
In the process of researching post-classification comparison method this paper improve K-nearest neighbor classifier and gain better detection result.
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.
近邻日本也遇到了同样的问题，在年轻人中，使用电脑和手机里自带的拼音输入法十分普遍。
Young Japanese people also report the problem, which is caused by the constant use of computers and mobile phones with alphabet-based input systems.
再采用改进的近邻聚类法对降维后特征点云进行聚类识别。
We adopt an improved near neighbor's cluster method to cluster the optimum combinatorial feature for recognition.
用最近邻近似法对金刚石型晶体的价带给出了一种简化的计算法。
This paper gives a simplified calculation of the valence band structure for a diamond-type crystal in nearest neighbor approximation.
本文研究三种在近邻分类法基础上的改进算法：（1）编辑技术，（2）边界抽取，（3）边界补缀。
This paper analysis three different kinds of improved algorithms based onthe K-NN classification:(1) Editing technique, (2) Boundary extraction, (3) Boundarypatching.
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.
实验结果证明了该算法具有有效性，其性能优于其他基于最近邻居法的缺失值处理算法。
Experiments prove that the method is valid and its performance is higher than the other imputation methods based on k-nearest neighbors for gene expression data.
通过实验比对可知该算法效果在特征提取和分类方面均优于传统核主成分分析法以及最近邻分类器。
The experimental comparisons show that this algorithm outperforms traditional KPCA and K-Nearest Neighbor classifier on both feature extraction and classification.
通过实验比对可知该算法效果在特征提取和分类方面均优于传统核主成分分析法以及最近邻分类器。
The experimental comparisons show that this algorithm outperforms traditional KPCA and K-Nearest Neighbor classifier on both feature extraction and classification.
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