| Download | - View final version: An ad rem unsupervised classification review (PDF, 470 KiB)
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| DOI | Resolve DOI: https://doi.org/10.4224/40003384 |
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| Author | Search for: Barton, Alan1 |
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| Affiliation | - National Research Council of Canada. NRC Institute for Information Technology
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| Format | Text, Technical Report |
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| Subject | pattern recognition; unsupervised learning; clustering |
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| Abstract | A brief survey of some unsupervised learning and clustering algorithms is performed based on a classical pattern recognition book. Other unsupervised approaches are also briefly introduced in order to broaden the content of the survey of such a large body of possible approaches. An example from paleontology is used to motivate the unsupervised learning problem, while examples from proteomics, geophysical prospecting and digital remote sensing are very briey mentioned. In addition, an unsupervised learning procedure (theIsodata clustering algorithm) was implemented and results reported. |
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| Publication date | 2006-12 |
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| Publisher | National Research Council of Canada |
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| Language | English |
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| Peer reviewed | No |
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| NRC number | NRCC 48807 |
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| NPARC number | 8914451 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 955317dc-b33a-4806-b054-4bf0240b13ea |
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| Record created | 2009-04-22 |
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| Record modified | 2024-07-11 |
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