An extended BIRCH-based clustering algorithm for large time-series datasets
Temporal data analysis and mining has attracted substantial interest due to theproliferation and ubiquity of time series in many fields. Time series clustering isone of the most popular mining methods, and many time series clustering algorithmsprimarily focus on detecting the clusters in a batch fas...
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| Format: | Others |
| Language: | English |
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Mittuniversitetet, Avdelningen för informations- och kommunikationssystem
2017
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-29858 |