This thesis discusses the question of data reinforce and continuous feature discretization which is based upon data preprocessing of rough set.
本文对基于粗集的数据预处理中数据补齐和连续属性离散化问题进行讨论。
In the process of test, principal component analysis is used as data preprocessing to extract the feature index from vibration signal statistic features as the input of SVDD classifier.
在测试的过程中，主成分分析作为数据预处理，提取特征指数从振动信号的统计特征作为输入SVDD分类。
And considered that today's map conflation should include data preprocessing, map alignment, feature matching and checking, user interaction, data transferring.
并认为目前的地图合并流程一般主要包括五个过程：数据预处理、地图对准、同名实体匹配及检验、人工交互、数据合并。
Feature extraction is an indispensable preprocessing step for large and high redundancy data of hyperspectral remote sensing image.
针对高光谱遥感影像数据量大、数据冗余度高的特点，引入拉普拉斯特征映射方法对高光谱遥感数据进行非线性降维。
Feature extraction is an indispensable preprocessing step for large and high redundancy data of hyperspectral remote sensing image.
针对高光谱遥感影像数据量大、数据冗余度高的特点，引入拉普拉斯特征映射方法对高光谱遥感数据进行非线性降维。
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