ALGORITMI KLASTER ANALIZE SA PRIMENOM

  • Dragana Galogaža
  • Jelena Ivetić Fakultet tehničkih nauka, UNS
Ključne reči: Klaster analiza, Hijerarhijske metode, Nehijerarhijske metode, algoritam k-sredina, KLARA algoritam, PAM algoritam

Apstrakt

Kroz ovaj rad je predstavljen pojam  klaster analize i njena primena. Rad objašnjava razliku hijerarhijskih i nehijerarhijskih metoda, kao i više algoritama klaster analize. Optimizacija broja klastera, ali i određivanja samih klastera su ilustrovani kroz primenu na realnim podacima i realizovani u programskom jeziku R.

Reference

[1] M. R. Anderberg (1973). Cluster Analysis for Applications London: Academic Press (print article) 51-59
[2] Brian S. Everitt , Sabine Landau, Morven Leese, Daniel Stahl(2001). Cluster Analysis London, UK, King’s College: John Wiley & Sons, Ltd (print article) 15-111
[3] Sławomir T. Wierzchoń, Mieczysław A. Kłopotek (2018). Modern Algorithms of Cluser Analysis Warsaw,Poland: Springer International Publishing (print article) 9-67
[4] Bruce L. Golden, S. Raghavan, Edward A. Wasil (2005). The next wave in computing, optimization and decision technologies New York: Springer International Publishing (print article) 213-249
[5] Ljiljana Sekulić (2002). ''Primena klasteranalize u istraživanju demografske starosti stanovništva'' Republika Srbija: Institut društvenih nauka 154-170
[6] Leonard Kaufman, Peter J. Rousseeuw (1990). Finding Groups in Data: An Introduction to Cluster Analysis New York: Wiley (print article) 67-125
[7] Bradley Boehmke (10th January 2023). “Hierarchical Cluster Analysis” (online blog)
https://uc-r.github.io/hc_clustering
[8] JánosAbonyi , Balázs Feil (2005). Cluster Analysis for Data Mining and System Identification Basel, Switzerland: Birkhäuser Basel (print article) 129-146
[9] Republički zavod za statistiku (10th February 2023). https://opendata.stat.gov.rs/odata/ (Public website)
Objavljeno
2023-10-09
Sekcija
Matematika u tehnici