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Title: Validation of archetypal analysis
Authors: Suleman, A.
Keywords: Fuzzy clustering
Archetypal analysis
Validation index
Issue Date: 2017
Publisher: IEEE
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%.
Peer reviewed: yes
DOI: 10.1109/FUZZ-IEEE.2017.8015385
ISBN: 978-1-5090-6034-4
ISSN: 1558-4739
Appears in Collections:BRU-CRI - Comunicações a conferências internacionais

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