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 networks....

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Bibliographic Details
Main Author: Urio, Paulo Roberto
Other Authors: Liang, Zhao
Format: Others
Language:en
Published: Biblioteca Digitais de Teses e Dissertações da USP 2017
Subjects:
Agrupamento de dados
Aprendizado de máquina
Aprendizado semissupervisionado
Community detection
Complex networks
Data clustering
Detecção de comunidades
Machine learning
Redes complexas
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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