Complex network component unfolding using a particle competition technique

Complex network component unfolding using a particle competition technique

This work applies complex network theory to the problem of semi-supervised and unsupervised learning in networks that are representations of multivariate datasets. Complex networks allow the use of nonlinear dynamical systems to represent behaviors according to the connectivity patterns of netwo...

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Bibliographic Details
Main Author: Paulo Roberto Urio
Other Authors: Zhao Liang
Language:English
Published: Universidade de São Paulo 2017
Subjects:
Agrupamento de dados
Aprendizado de máquina
Aprendizado semissupervisionado
Detecção de comunidades
Redes complexas
Community detection
Complex networks
Data clustering
Machine learning
Semi-supervised learning
Online Access:http://www.teses.usp.br/teses/disponiveis/55/55134/tde-14092017-091318/

Internet

http://www.teses.usp.br/teses/disponiveis/55/55134/tde-14092017-091318/

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