Hierarchical information clustering by means of topologically embedded graphs.

We introduce a graph-theoretic approach to extract clusters and hierarchies in complex data-sets in an unsupervised and deterministic manner, without the use of any prior information. This is achieved by building topologically embedded networks containing the subset of most significant links and ana...

Full description

Saved in:
Bibliographic Details
Main Authors: Won-Min Song, T Di Matteo, Tomaso Aste
Format: article
Language:EN
Published: Public Library of Science (PLoS) 2012
Subjects:
R
Q
Online Access:https://doaj.org/article/a720d768c28243c4980b470a8ac3213a
Tags: Add Tag
No Tags, Be the first to tag this record!