DocumentCode
2647813
Title
Neuron splitting for efficient feature map formation
Author
Andrew, Lachlan L H
Author_Institution
Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
fYear
1994
fDate
29 Nov-2 Dec 1994
Firstpage
10
Lastpage
13
Abstract
Kohonen´s Self Organising Feature Map (SOFM) produces an ordered mapping from one space to another. The paper describes an algorithm inspired by the splitting initialisation for the classical LBG method or generalised Lloyd algorithm (Y. Linde et al., 1980) for vector quantiser design, which allows the efficient generation of maps with various topologies and with high local and global ordering
Keywords
self-organising feature maps; unsupervised learning; vector quantisation; Kohonen Self Organising Feature Map; SOFM; algorithm; classical LEG method; efficient feature map formation; global ordering; local ordering; neuron splitting; ordered mapping; splitting initialisation; vector quantiser design; Algorithm design and analysis; Artificial neural networks; Biological system modeling; Brain modeling; Gold; Network topology; Neurons; Partitioning algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Systems,1994. Proceedings of the 1994 Second Australian and New Zealand Conference on
Conference_Location
Brisbane, Qld.
Print_ISBN
0-7803-2404-8
Type
conf
DOI
10.1109/ANZIIS.1994.396960
Filename
396960
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