SCLOPE: An algorithm for clustering data streams of categorical attributes
Clustering is a difficult problem especially when we consider the task in the context of a data stream of categorical attributes. In this paper, we propose SCLOPE, a novel algorithm based on CLOPE's intuitive observation about cluster histograms. Unlike CLOPE however, our algorithm is very fast...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2004
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/1021 https://ink.library.smu.edu.sg/context/sis_research/article/2020/viewcontent/SCLOPE__An_algorithm_for_clustering_data_streams_of_categorical_attributes.pdf |
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| Institution: | Singapore Management University |
| Language: | English |