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Publication details
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Title:
Proportional Membership in Fuzzy Clustering as a Model of Ideal Types
Publication date:
December 2001
Citation:
NaMiMP01
Abstract:
-
In proceedings
Authors:
Susana Nascimento
, B. Mirkin, Fernando Moura Pires
Editors:
P. Brazdil, A. Jorge
Book title:
Progress in Artificial Intelligence, 10th Portuguese International Conference on Artificial Intelligence (EPIA'01)
Series:
Lecture Notes in Artificial Intelligence
Publisher:
Springer
Address:
Porto, Portugal
Volume:
2258
Pages:
52-62
ISBN:
-
ISSN:
-
Note:
-
Url address:
-
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Plain text:
Susana Nascimento and B. Mirkin and Fernando Moura Pires, Proportional Membership in Fuzzy Clustering as a Model of Ideal Types, in: P. Brazdil and A. Jorge (eds), Progress in Artificial Intelligence, 10th Portuguese International Conference on Artificial Intelligence (EPIA'01), Lecture Notes in Artificial Intelligence, Springer, Porto, Portugal, Vol. 2258, Pag. 52-62, December 2001.
HTML:
<a href="/people/members/view.php?code=4d69262d034cb8174d039bea8d970836" class="author">Susana Nascimento</a>, B. Mirkin and Fernando Moura Pires, <b>Proportional Membership in Fuzzy Clustering as a Model of Ideal Types</b>, in: P. Brazdil and A. Jorge (eds), <u>Progress in Artificial Intelligence, 10th Portuguese International Conference on Artificial Intelligence (EPIA'01)</u>, Lecture Notes in Artificial Intelligence, <a href="http://www.springer.com" title="Link to external entity..." target="_blank" class="publisher">Springer</a>, Porto, Portugal, Vol. 2258, Pag. 52-62, December 2001.
BibTeX:
@inproceedings {NaMiMP01, author = {Susana Nascimento and B. Mirkin and Fernando Moura Pires}, editor = {P. Brazdil and A. Jorge}, title = {Proportional Membership in Fuzzy Clustering as a Model of Ideal Types}, booktitle = {Progress in Artificial Intelligence, 10th Portuguese International Conference on Artificial Intelligence (EPIA'01)}, series = {Lecture Notes in Artificial Intelligence}, publisher = {Springer}, address = {Porto, Portugal}, volume = {2258}, pages = {52-62}, month = {December}, year = {2001}, }
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