The paper presents a method hybrid relational invariant clustering with visualization of strong links between objects and application of this method to analyze the interaction of oil wells on the example of one of the Mexican oil fields.
гибридная реляционная кластеризация, визуализация данных, инвариантная иерархическая кластеризация, hybrid relational clustering, data visualization, invariant hierarchical clustering
1. Plohotnikov S.P. Osrednenie modeley trehfaznoy fil'tracii v neodnorodnyh sloyah, podchinyayuschihsya ravnomernomu raspredeleniyu / S.P. Plohotnikov, V. A. Bogomolov, Belova E.N., Bogomolova O.I., Plohotnikov D.S. Bulgakova O.R.//Vestnik Kazansko-go tehnologicheskogo universiteta. - Kazan', 2012. - T. 1. - S.63-68.
2. Plohotnikov S.P. Modificirovannye pronica-emosti, osnovannye na modeli shemy struy dlya betta-raspredeleniya i ego chastnyh sluchaev / S.P. Plohotnikov, V. A. Bogomolov, Plohotnikov D.S. Bulgakova O.R.//Vestnik Kazanskogo tehnologichesko-go universiteta. - Kazan', 2010. - T. 4. - S.171-175.
3. Batyrshin I.Z. On general scheme of invariant clustering procedures based on fuzzy similarity relation/Batyrshin I.Z., Rudas T., Klimova A.S.//Proceedings International Conference on Fuzzy Sets and Soft Computing in Economics and Finance. - Saint-Petersburg, Russia, 2004. - P. 122 - 129.
4. Batyrshin I. Z. Invariantnye ierarhicheskie algoritmy klasterizacii, osnovannye na korrekcii znacheniy shodstva/ I. Z. Batyrshin, A. S. Klimova//Materialy III-go Mezhdunarodnogo nauchno-prakticheskogo seminara “Integrirovannye modeli i myagkie vychisleniya v iskusstvennom intellekte” - 2005. - S. 119 - 125.
5. Batyrshin I. Z. Struktura semanticheskogo prostranstva slovesnyh ocenok postupkov/ I. Z. Batyrshin, V. A. Shuster//Principial'nye voprosy teorii znaniy. Trudy po iskusstvennomu intellektu. Uchenye zapiski Tartuskogo gos. un-ta. Vyp. 688 - Tartu, 1984. - S. 20 - 38.
6. Batyrshin I. Z. Metody analiza sistem na osnove vzveshennyh otnosheniy//Dissertaciya na soiskanie uchenoy stepeni kandidata tehnicheskih nauk - Moskva: MEI, 1982 - 218 S.
7. S. Tamura Pattern classification based on fuzzy relations/ S. Tamura, S. Higuchi, K. Tanaka//IEEE Trans. SMC. - 1971, vol. SMC - 1, P. 61 - 66.
8. J. C. Dunn A graph-theoretic analysis of pattern classification via Tamura’s fuzzy relation//IEEE Trans. SMC. - 1974, vol. SMC - 4, P. 310 - 313.
9. Batyrshin I. Z. Struktura semanticheskogo prostranstva slovesnyh ocenok postupkov/Batyrshin I. Z., Shuster V. A.//Principial'nye voprosy teorii znaniyTrudy po iskusstvennomu intellektu. Uchenye zapiski Tartuskogo gos. un-ta. Vyp. 688 - Tartu, 1984. - S. 20 - 38.
10. J. S. Hubert Monotone invariant clustering procedures//Psychometrica. - 1973, vol. 38, №1, P. 47 - 62.
11. C.J. Jardine The structure and construction of taxonomic hierarchies/C.J. Jardine, N. Jardine, R. Sibson//Math. Biosci - 1967. - 1 - P.173 - 179.
12. I. Batyrshin. On invariance of clustering algorithms./ I. Batyrshin I., Khabibulin R.- The Journal of Fuzzy Mathematics, Vol. 6, No. 3, 1998, 721-733.
13. A. Aho Postroenie i analiz vychislitel'nyh algoritmov/ A. Aho, Dzh. Hopkroft, Dzh. Ul'man - M.: Mir, 1979. - 536 S.
14. Batyrshin I.Z. Analiz vzaimodeystviya neftyanyh skvazhin na osnove gibridnoy klasterizacii vremennyh ryadov produktivnosti skvazhin/ Batyrshin I.Z., Koshul'ski A., Sheremetov L.B., Klimova A.S., Panova A.M.//Nechetkie sistemy i myagkie vychisleniya, tom 2, №4 - 2007. - S. 63-73.
15. Batyrshin I. Moving Approximation Transform and Local Trend Associations in Time Series Data Bases/ Batyrshin I., Herrera-Avelar R., Sheremetov L., Panova A.//In: Perception-Based Data Mining and Decision Making in Economics and Finance. Studies in Computational Intelligence, Springer, vol.36 - 2007. -S. 55-83.
16. Batyrshin I. Moving approximations in time series data mining/ Batyrshin I., Herrera-Avelar R., Sheremetov L., Suarez R.//In.: Proc. Intern. Conf. on Fuzzy Sets and Soft Computing in Economics and Finance, FSSCEF 2004.- St. Petersburg, Russia, vol. I, 2004. - S.62-72.
17. Batyrshin I.Z. On general scheme of invariant clustering procedures based on fuzzy similarity relation/ Batyrshin I.Z., Rudas T. , Klimova A.//Proc. Intern. Conf. Fuzzy Sets and Soft Computing in Economics and Finance FSSCEF 2004. - St. Petersburg, Russia, vol. I, 2004. - P. 122-129.