Author(s)

Xiwu Zheng

Corresponding Author

Xiwu Zheng

Abstract

Due to the large amount of redundant data in traditional data transmission, in order to avoid excessive bandwidth occupation, this paper proposes a parallel semi-supervised clustering algorithm based on migration learning, which filters the data in advance before data transmission, so as to reduce the burden of server data transmission.

Keywords

Transfer learning; semi-supervised clustering; distributed computing