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...
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| Main Authors: | , |
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| Format: | EJournal Article |
| Published: |
Universitas Ahmad Dahlan,
2018-11-11.
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| Subjects: | |
| Online Access: | Get Fulltext |
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |