一种基于动态降维的数据约简方法

Data Reduction Method Based on Dynamic Dimension Reduction

根据数据处理形式的不同,提出基于动态降维的数据约简方法和多维度动态降维算法。通过引入数据冗余删除理论,降低数据的冗余程度;采用数据降维技术,实现数据清洗,数据结构并行,提升核心数据的知识表示能力。最后通过实验验证了本方法的有效性。

According to the different forms of data processing, a data reduction method based on dynamic dimension reduction is proposed. By introducing data redundancy, the degree of data redundancy is reduced. The data reduction techniques is proposed to achieve the aims of data cleaning, and finally the optimization algorithm of multi - dimension dynamic dimensionality reduction al- gorithm are put forward, which enhances the core capability of knowledge representation. The validity of this method is verified by experiment.