Fast Streaming k-Means Clustering with Coreset Caching
IEEE We present new algorithms for k-means clustering on a data stream with a focus on providing fast responses to clustering queries. Compared to the state-of-the-art, our algorithms provide substantial improvements in the query time for cluster centers while retaining the desirable properties of p...
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| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/59046 |
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| Institution: | Mahidol University |