nearest neighbor classification中文是什么意思
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用"nearest neighbor classification"造句"nearest neighbor classification"怎么读"nearest neighbor classification" in a sentence
中文翻译
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- 最近邻域分类
- 最邻近分类法
- "near"中文翻译 adv. 1.近,接近,邻接 (opp. far)。 2 ...
- "neighbor"中文翻译 n. 1.邻人,邻居；邻近的人；邻国(人)。 2.邻座( ...
- "classification"中文翻译 n. 1.选别；分等，分级；分选。 2.【动、植】分类( ...
- "nearest-neighbor pattern classification" 中文翻译 : 最近邻域模式分类法
- "nearest neighbor" 中文翻译 : 最近邻域
- "nearest-neighbor" 中文翻译 : 近优性; 最近邻体法
- "k-nearest neighbor estimation" 中文翻译 : k 最近领域估价; 最近领域估价
- "k-nearest neighbor method" 中文翻译 : k-最近邻法
- "mean distance to nearest neighbor" 中文翻译 : 平均最近邻距
- "nearest neighbor analysis" 中文翻译 : 紧邻分析法; 最近邻分析法
- "nearest neighbor approximation" 中文翻译 : 最近邻近似法
- "nearest neighbor decoding" 中文翻译 : 最邻近译码
- "nearest neighbor energy" 中文翻译 : 最近邻能
- "nearest neighbor frequency" 中文翻译 : 紧邻频率; 最近邻频率
- "nearest neighbor index" 中文翻译 : 距离指数
- "nearest neighbor interaction" 中文翻译 : 最近邻相互作用
- "nearest neighbor interpolation" 中文翻译 : 最接近原则插值
- "nearest neighbor method" 中文翻译 : 毗邻法,最近邻法,最小样方面积; 最小样方面积
- "nearest neighbor resampling" 中文翻译 : 最近邻重复取样
- "nearest neighbor search" 中文翻译 : 最近点对查询
- "nearest neighbor sequence" 中文翻译 : 最近邻顺序; 最近邻序列
- "nearest neighbor sequence analysis" 中文翻译 : 毗邻序列分析; 最近邻顺序分析
- "nearest neighbor statistic" 中文翻译 : 最近邻统计量
- "nearest-neighbor algorithm" 中文翻译 : 最小距离算法
- "nearest-neighbor sequence analysis" 中文翻译 : 最近邻位顺序分析
例句与用法
- At the same time , this paper puts forward a validity function for judging clustering in order to lead us to use it in k - nearest neighbor classification ; then introduces " generalization capability of a case " to k - nearest neighbour . according to the proposed approach , the cases with better generalization capability are maintained as the representative cases while those redundant cases found in their coverage are removed . we can find a new less but almost complete training data set , consequently reduce complexity of seeking near neighbour
针对k值的学习，本文初步使用了遗传算法选择较优的k值，同时总结了一种聚类有效性函数，数值实验证实了其有效性，旨在指导应用于k -近邻分类中；然后还将“扩张能力”的概念引入k -近邻算法，根据训练集例子不同的覆盖能力，删除冗余样本，得到数量较小同时代表类别情况又比较完全的新的训练集，从而降低查找近邻复杂性。
相关词汇
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