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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Suleman, A. (2017). Validation of Archetypal Analysis. The 2017 International conference on Fuzzy Systems - FUZZ-IEEE 2017.
Exportar Referência (IEEE) 
A. K. Suleman,  "Validation of Archetypal Analysis", in The 2017 Int. conference on Fuzzy Systems - FUZZ-IEEE 2017, 2017
Exportar BibTeX 
@misc{suleman2017_1776097989203,
	author = "Suleman, A.",
	title = "Validation of Archetypal Analysis",
	year = "2017",
	url = "https://www.fuzzieee2017.org/"
}
Exportar RIS 
TY  - CPAPER
TI  - Validation of Archetypal Analysis
T2  - The 2017 International conference on Fuzzy Systems - FUZZ-IEEE 2017
AU  - Suleman, A.
PY  - 2017
UR  - https://www.fuzzieee2017.org/
AB  - 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%.
ER  -