Pregled bibliografske jedinice broj: 903162
An approach to cluster separability in a partition
An approach to cluster separability in a partition // Information sciences, 305 (2015), 208-218 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 903162 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
An approach to cluster separability in a partition
Autori
Sabo, Kristian ; Scitovski, Rudolf
Izvornik
Information sciences (0020-0255) 305
(2015);
208-218
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
clustering ; data mining ; cluster separability ; separability ball
Sažetak
In this paper, we consider the problem of cluster separability in a minimum distance partition based on the squared Euclidean distance. We give a char- acterization of a well-separated partition and provide an operational criterion that gives the possibility to measure the quality of cluster separability in a partition. Especially, the analysis of cluster separability in a partition is illustrated by implementation of the k -means algorithm
Izvorni jezik
Engleski
Znanstvena područja
Matematika
POVEZANOST RADA
Ustanove:
Sveučilište u Osijeku, Odjel za matematiku
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
