Implementation of a Variable Cluster Self Organising Algorithm for High Speed Unsupervised Pattern Classification (Lost in {0, 1}N space)

Martin Johnson; Nigel Allinson

doi:10.1117/12.969939

1 February 1990 Implementation of a Variable Cluster Self Organising Algorithm for High Speed Unsupervised Pattern Classification (Lost in {0,1}^N space)

Martin Johnson, Nigel Allinson

Author Affiliations +

Proceedings Volume 1197, Automated Inspection and High-Speed Vision Architectures III; (1990) https://doi.org/10.1117/12.969939
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

Abstract

Traditional neural networks for pattern classification use linear decisions to partition a multivalued high dimensional pattern space. This paper shows that the properties of binary space ({0, 1}N space) make it well suited for these tasks and a simple training algorithm is given. A simple measure of network ordering is used to allow a variable number of clusters and continuous learning.

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Martin Johnson and Nigel Allinson "Implementation of a Variable Cluster Self Organising Algorithm for High Speed Unsupervised Pattern Classification (Lost in {0,1}^N space)", Proc. SPIE 1197, Automated Inspection and High-Speed Vision Architectures III, (1 February 1990); https://doi.org/10.1117/12.969939

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