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|Title:||DB-GNG: A constructive self-organizing map based on density|
Cuadros Vargas, Ernesto
|Keywords:||Artificial intelligence;Computer networks;Conformal mapping;Information services;Search engines;Joint conference;Self-organizing Maps;Neural networks|
|Abstract:||Nowadays applications require efficient and fast techniques due to the growing volume of data and its increasing complexity. Recent studies promote the use of Access Methods (AMs) with Self-Organizing Maps (SOMs) for a faster similarity information retrieval. This paper proposes a new constructive SOM based on density, which is also useful for clustering. Our algorithm creates new units based on density of data, producing a better representation of the data space with a less computational cost for a comparable accuracy. It also uses AMs to reduce considerably the Number of Distance Calculations during the training process, outperforming existing constructive SOMs by as much as 89%. ©2007 IEEE.|
|Appears in Collections:||Artículos de investigación|
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