Geodesic
On an approach to splitting into equivalence classes
Čelâbinskij fiziko-matematičeskij žurnal, Tome 2 (2017) no. 4, pp. 497-502.

Voir la notice de l'article provenant de la source Math-Net.Ru

The theoretical foundations of a data clustering algorithm based on the fuzzy relation of equivalence are presented.
Keywords: clustering of data, fuzzy equivalence relation, equivalence class. 
@article{CHFMJ_2017_2_4_a11,
     author = {S. O. Zhuravlev and S. A. Nikitina and A. S. Scorynin},
     title = {On an approach to splitting into equivalence classes},
     journal = {\v{C}el\^abinskij fiziko-matemati\v{c}eskij \v{z}urnal},
     pages = {497--502},
     publisher = {mathdoc},
     volume = {2},
     number = {4},
     year = {2017},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/CHFMJ_2017_2_4_a11/}
}
TY  - JOUR
AU  - S. O. Zhuravlev
AU  - S. A. Nikitina
AU  - A. S. Scorynin
TI  - On an approach to splitting into equivalence classes
JO  - Čelâbinskij fiziko-matematičeskij žurnal
PY  - 2017
SP  - 497
EP  - 502
VL  - 2
IS  - 4
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/CHFMJ_2017_2_4_a11/
LA  - ru
ID  - CHFMJ_2017_2_4_a11
ER  - 
%0 Journal Article
%A S. O. Zhuravlev
%A S. A. Nikitina
%A A. S. Scorynin
%T On an approach to splitting into equivalence classes
%J Čelâbinskij fiziko-matematičeskij žurnal
%D 2017
%P 497-502
%V 2
%N 4
%I mathdoc
%U http://geodesic.mathdoc.fr/item/CHFMJ_2017_2_4_a11/
%G ru
%F CHFMJ_2017_2_4_a11
S. O. Zhuravlev; S. A. Nikitina; A. S. Scorynin. On an approach to splitting into equivalence classes. Čelâbinskij fiziko-matematičeskij žurnal, Tome 2 (2017) no. 4, pp. 497-502. http://geodesic.mathdoc.fr/item/CHFMJ_2017_2_4_a11/

[1] A.A. Bargesyan, M. Kupriyanov, I.I. Kholod, M.D. Tess, S.I. Elizarov, Analysis of data and processes, BHV-Petersburg, St. Petersburg, 2009, 512 pp. (In Russ.)

[2] L.A. Zadeh, The concept of a linguistic variable and its application to the adoption of approximate solutions, Mir Publ., Moscow, 1976, 165 pp. (In Russ.)

[3] Y.P. Zaychenko, Fuzzy models and techniques in intelligent systems, Slovo Publ., Kiev, 2008, 344 pp. (In Russ.)

[4] V.I. Ukhobotov, Selected chapters of the theory of fuzzy sets, Chelyabinsk State University, Cheljabinsk, 2011, 245 pp. (In Russ.)