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Neuron splitting for efficient feature map formation

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conference contribution
posted on 2024-07-13, 07:21 authored by Lachlan L. H. Andrew
Kohonen's Self Organizing Feature Map (SOFM) produces an ordered mapping from one space to another. This paper describes an algorithm inspired by the splitting initialization for the classical LBG method for vector quantizer design, which allows the efficient generation of maps with various topologies and with high local and global ordering.

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ISBN

9780780324046

Conference name

2nd Australian and New Zealand Conference on Intelligent Information Systems, Brisbane, Australia, 29 November-02 December 1994

Pagination

9 pp

Publisher

IEEE

Copyright statement

Copyright © 1994 IEEE. Paper is reproduced in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Language

eng

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