Memberships Networks for High-Dimensional Fuzzy Clustering Visualization

Visualizing the cluster structure of high-dimensional data is a non-trivial task that must be able to deal with the large dimensionality of the input data. Unlike hard clustering structures, visualization of fuzzy clusterings is not as straightforward because soft clustering algorithms yield more co...

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Autores:

Tipo de recurso:

Fecha de publicación:

2019

Institución:

Universidad de Medellín

Repositorio:

Repositorio UDEM

Idioma:

eng

OAI Identifier:

oai:repository.udem.edu.co:11407/5662

Acceso en línea:

http://hdl.handle.net/11407/5662

Palabra clave:

Clustering visualization
Fuzzy clustering
High-dimensional data
Membership network
Cluster analysis
Complex networks
Data visualization
Fuzzy clustering
Input output programs
Large dataset
Visualization
Cluster structure
Financial profiles
Hard clustering
High dimensional data
High-dimensional
Non-trivial tasks
Simple networks
Weighted networks
Clustering algorithms

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http://purl.org/coar/access_right/c_16ec