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Artificial intelligence architectures for classifying conjoined data

This thesis is concerned with the development of novel methods of classifying data
that is not inherently clustered. The performance of these novel algorithms in finding
classifications in this data will be compared with that of existing artificial intelligence
methods.

Identiferoai:union.ndltd.org:ADTP/216635
Date January 2007
CreatorsPierrot, Henri Jan, n/a
PublisherSwinburne University of Technology.
Source SetsAustraliasian Digital Theses Program
LanguageEnglish
Detected LanguageEnglish
Rightshttp://www.swin.edu.au/), Copyright Henri Jan Pierrot

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