DocumentCode
899091
Title
On-line clustering
Author
Bouguettaya, Athman
Author_Institution
Sch. of Inf. Syst., Queensland Univ. of Technol., Brisbane, Qld., Australia
Volume
8
Issue
2
fYear
1996
fDate
4/1/1996 12:00:00 AM
Firstpage
333
Lastpage
339
Abstract
We focus on the stability and behavior of three widely used clustering algorithms. Various correlation coefficients are computed to help us understand the sensitivity of object clustering. Surprisingly, the results indicate that there is almost no difference among any clustering approach. Furthermore, all methods appear to be near stable. These findings tend to show that the clustering algorithms are independent of the way objects are inherently clustered
Keywords
object-oriented databases; pattern recognition; behavior; cluster analysis; clustering algorithms; correlation coefficients; data clustering; object clustering; object oriented databases; online clustering; stability; Animals; Clustering algorithms; Clustering methods; Data analysis; Extraterrestrial measurements; Object oriented databases; Planets; Random variables; Stability; Testing;
fLanguage
English
Journal_Title
Knowledge and Data Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1041-4347
Type
jour
DOI
10.1109/69.494170
Filename
494170
Link To Document