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机译:基于支持向量机和K最近邻的遥感数据混合分类方法
Northeast Normal Univ, Sch Comp Sci & Informat Technol, Changchun 130117, Peoples R China|Northeast Normal Univ, Sch Geog Sci, Changchun 130024, Peoples R China|Yili Normal Univ, Dept Elect & Informat Engn, Yining 835000, Peoples R China;
Northeast Normal Univ, Sch Comp Sci & Informat Technol, Changchun 130117, Peoples R China;
Yili Normal Univ, Dept Elect & Informat Engn, Yining 835000, Peoples R China;
Northeast Normal Univ, Sch Comp Sci & Informat Technol, Changchun 130117, Peoples R China|Northeast Normal Univ, Sch Geog Sci, Changchun 130024, Peoples R China;
Northeast Normal Univ, Sch Comp Sci & Informat Technol, Changchun 130117, Peoples R China;
Northeast Normal Univ, Sch Comp Sci & Informat Technol, Changchun 130117, Peoples R China;
Support vector machines; K-nearest neighbor; land cover classification; SV-NN classification;
机译:结合K近邻和支持向量机的文本依赖度低的混合文本分类方法。
机译:支持向量机和K-Neastrest近邻分类器在认知无线电中数字调制方案分类的二阶统计方法
机译:支持向量机和K-Neastrest近邻分类器的认知无线电数字调制方案分类的二阶统计方法科学出版物
机译:支持向量机,K最近邻,决策树的基于集合的特征选择和基因表达分类
机译:基于垂直等间隔邻域环的k最近邻/局部支持向量机的分类和应用。
机译:使用Sentinel-2影像进行土地覆盖分类的随机森林k最近邻和支持向量机分类器的比较
机译:支持向量机和K近邻分类器在认知无线电中的数字调制方案分类的二阶统计方法