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Sample-subset-partitioning

于 2021-05-09 发布文件大小:291KB

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说明：近红外光谱分析中要从复杂的信息中有效地提取相关信息建立可靠的模型，选择的训练集要具有较好的代表性。目前．样本的选择方法主要包括random sampling(RS)，Kennard—Stone(KS)．sample set partitioning based on joint x-y distance(SPXY)等方法。(selecting a representative subset in NIR data using SPXY， the random sampling，and Kennard—Stone methods )

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Sample-subset-partitioning

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