Constraint-based discriminative dimension selection for high-dimensional stream clustering
Clustering data streams is one of active research topic in data mining. However, runtime of the existing stream clustering algorithms increases and their performance drop in the face of large number of dimensions. Complexity of the stream clustering methods is increased when perform on data with lar...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Ahmad Dahlan
2018-11-01
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| Series: | IJAIN (International Journal of Advances in Intelligent Informatics) |
| Subjects: | |
| Online Access: | http://ijain.org/index.php/IJAIN/article/view/271 |