An arbitrary shape clustering algorithm over variable density data streams
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 dynam...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2017-03-01
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| Series: | Journal of Algorithms & Computational Technology |
| Online Access: | https://doi.org/10.1177/1748301816670163 |