@misc{Pedrycz_Witold_(1953–_)_Fuzzy_2003,
 author={Pedrycz, Witold (1953– )},
 copyright={Creative Commons Attribution BY 4.0 license},
 address={Warszawa},
 journal={Raport Badawczy = Research Report},
 howpublished={online},
 year={2003},
 publisher={Instytut Badań Systemowych. Polska Akademia Nauk},
 publisher={Systems Research Institute. Polish Academy of Sciences},
 language={eng},
 abstract={This study discussed an issue of exploiting and effectively incorporating auxiliary problem dependent hints being available as a part of the domain knowledge associated with the pattern recognition problem at hand. As such hints are usually expressed by experts/data analysis at the level of clusters (information granules) rather than individual data (patterns), we refer to then as knowledge-based guidance available to fuzzy clustering. The proposed paradigm shift in which fuzzy clustering incorporates this type of knowledge-based supervision is discussed and contrasted with the “pure” (that is data-driven) version of fuzzy clustering. Several fundamental categories of the guidance mechanisms are introduced and discussed, namely partial supervision, proximity-based guidance and uncertainty driven knowledge hints. The details on how the guidance machinery translates into updates of the partition matrices are presented. A number of practical scenarios are also presented in which the role of knowledge hints becomes evident and highly justifiable. This concerns Web exploration, exploitation of labeled patterns, issues of incomplete feature spaces, and constraints of typicality of patterns, to name e few representative applications.},
 title={Fuzzy clustering with a knowledge-based guidance},
 type={Text},
 URL={http://rcin.org.pl/Content/104348/PDF/RB-2003-03.pdf},
 keywords={Knowledge and data, Fuzzy predicates, Fuzzy clustering, Guidance mechanisms, Partial supervision, Wiedza i dane, Grupowanie rozmyte, Nadzór częściowy},
}