About this document

DSEDC: Enhanced Document Clustering by Ali Ahmed Shaikh is a document available to read on EtoBox.

This paper proposes a new deep learning model called DSEDC for document clustering. DSEDC enhances document representations learned from internal content with external structural information between documents. It uses an autoencoder to learn internal representations and a graph convolutional network to learn external representations. These are combined using an ensemble-reinforced strategy that learns them iteratively to improve the representations. Experiments show DSEDC outperforms other deep document clu

Author

Ali Ahmed Shaikh

Language

EN