.png){kind=icon}
Return
An arbitrary shape clustering algorithm over variable density data streams
.png){kind=icon}
OA
AI
DOI：10.1177/1748301816670163.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This paper proposes VDStream, a new effective method, to discover arbitrary shape clusters over variable density data streams. The algorithm can reduce the influence of history data and effectively eliminate the interference of noise data. When the density of data streams changes, VDStream can dynamically adjust the parameters of density to find precise clusters. Experiments demonstrate the effectiveness and efficiency of VDStream.
Journal
No journal information available
Organization
No organization information available
Cited Papers
No cited papers available