Artificial intelligence architectures for classifying conjoined data
thesis
posted on 2024-07-12, 12:33 authored by Henri J. PierrotThis 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.
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Thesis type
- Thesis (Masters by research)
Thesis note
Submitted in partial fulfillment of the requirements for the degree of Master of Science (Information and Communication Technology), Swinburne University of Technology, 2007.Copyright statement
Copyright © 2007 Henri J. Pierrot.Supervisors
Tim HendtlassLanguage
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