基于大模型的张量多聚类印章数据处理方法研究

Research on Tensor Clustering Stamp Data Processing Methods Based on Large Models

传统的印章数据处理方法难以有效应对大数据环境下的多维度、高复杂度数据。文中探讨了基于大模型的张量多聚类方法在印章数据处理中的应用。随着大数据和深度学习技术的发展,特别是大模型(如Transformer、BERT等)在图像处理领域的突破,为复杂的印章数据处理提供了新的思路。

Traditional seal data processing methods are difficult to effectively cope with multi-dimensional and high-complexity data in the big data environment.This paper discusses the application of tensor multi-clustering method based on large model in seal data processing.With the development of big data and deep learning technology,especially the breakthrough of large models(such as Transformer,BERT,etc.)in the field of image processing,it provides new ideas for complex seal data processing.