Title :
A Review of Uncertain Data Stream Clustering Algorithms
Author :
Yue Yang;Zhuo Liu;Zhidan Xing
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
Abstract :
Because of data uncertainty and time and space limitations in clustering process, clustering uncertain data stream becomes a very challenging task. A lot of processing algorithms has been proposed continuously. This paper reviews clustering algorithms of uncertain data stream and dissects the advantages and disadvantages of these algorithms for future development.
Keywords :
"Clustering algorithms","Uncertainty","Algorithm design and analysis","Data models","Data structures","Heuristic algorithms","Classification algorithms"
Conference_Titel :
Internet Computing for Science and Engineering (ICICSE), 2015 Eighth International Conference on
DOI :
10.1109/ICICSE.2015.30