CI-SNF: Exploiting contextual information to improve SNF based information retrieval

Volume: 52, Pages: 175 - 186
Published: Dec 1, 2019
Abstract
Similarity networks contain important topological features and patterns critical to understanding interactions among samples in a large dataset. To create a comprehensive view of the interactions within a dataset, the Similarity Network Fusion (SNF) technique has been proposed to fuse the similarity networks based on different data types into one similarity network that represents the full spectrum of underlying data. In this paper, a modified...
Paper Details
Title
CI-SNF: Exploiting contextual information to improve SNF based information retrieval
Published Date
Dec 1, 2019
Volume
52
Pages
175 - 186
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