Reflexive Regular Equivalence for Bipartite Data
ADVANCES IN ARTIFICIAL INTELLIGENCE, CANADIAN AI 2017, pp. 71-77, 2017.
EI
Abstract:
Bipartite data is common in data engineering and brings unique challenges, particularly when it comes to clustering tasks that impose strong structural assumptions. This work presents an unsupervised method for assessing similarity in bipartite data. The method is based on regular equivalence in graphs and uses spectral properties of a bi...More
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