A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation
2011
2011 IEEE 11th International Conference on Data Mining
The fast growth of Internet and modern technologies has brought data involving objects of multiple types that are related to each other, called as Multi-Type Relational data. Traditional clustering methods for single-type data rarely work well on them, which calls for new clustering techniques, called as high-order co-clustering (HOCC), to deal with the multiple types of data at the same time. A major challenge in developing HOCC methods is how to effectively make use of all available
doi:10.1109/icdm.2011.109
dblp:conf/icdm/WangNHD11
fatcat:vf5nzmet3fcrdpllulnonuu44i