Title :
On-line clustering
Author :
Bouguettaya, Athman
Author_Institution :
Sch. of Inf. Syst., Queensland Univ. of Technol., Brisbane, Qld., Australia
fDate :
4/1/1996 12:00:00 AM
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;
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
