Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/16015| Author(s): | Suleman, A. |
| Date: | 2017 |
| Title: | Validation of archetypal analysis |
| Event title: | 2017 IEEE International Conference on Fuzzy Systems |
| ISSN: | 1558-4739 |
| ISBN: | 978-1-5090-6034-4 |
| DOI (Digital Object Identifier): | 10.1109/FUZZ-IEEE.2017.8015385 |
| Keywords: | Fuzzy clustering Archetypal analysis Validation index |
| Abstract: | We use an information-theoretic criterion to assess the goodness-of-fit of the output of archetypal analysis (AA), also intended as a fuzzy clustering tool. It is an adaptation of an existing AIC-like measure to the specifics of AA. We test its effectiveness using artificial data and some data sets arising from real life problems. In most cases, the results achieved are similar to those provided by an external similarity index. The average reconstruction accuracy is about 93%. |
| Peerreviewed: | yes |
| Access type: | Open Access |
| Appears in Collections: | BRU-CRI - Comunicações a conferências internacionais |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| PID4716351-1.pdf | Pós-print | 384,77 kB | Adobe PDF | View/Open |
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