...数据降维 [gap=902] curse of dimensionality; formal context; concept lattices; attribute reduction; data dimension reduction ...
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In this paper, data dimension reduction methods and sample fusion methods are used in Vehicle Logo Recognition, which is to improve recognition rate and recognition reliability.
本文将数据降维技术和样本融合技术应用于车标识别,在提高车标识别的速度同时提高了车标识别的可靠性。
参考来源 - 基于主成分分析和样本融合的车标识别技术研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Reduction is used to decrease the dimension of structured data and the various compact degrees of data sets are obtained.
通过约简以减少结构化数据的维数，获得数据集合的不同简洁程度表示已成为数据挖掘的重要任务之一。
Fuzzy rough set theory is an effective tool for reduction of data dimension, but there are few dimension reduction algorithms that are based on fuzzy rough set theory so far.
模糊粗糙集理论是解决数据集维数问题的有效工具，但基于模糊粗糙集的降维算法还不多。
Singular Value Decomposition (SVD) is a dimension reduction method, and Symbolic data Analysis (SDA) is a new analytical approach to processing mass data.
奇异值分解(SVD)是一种对数据进行降维处理的方法，符号数据分析(SDA)是一种处理海量数据的全新数据分析思路。
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