Adaptive Fuzzy Clustering of Short Time Series with Unevenly Distributed Observations in Data Stream Mining Tasks
In the paper, adaptive modifications of fuzzy clustering methods have been proposed for solving the problem of data stream mining in online mode. The clustering-segmentation task of short time series with unevenly distributed observations (at the same time in all samples) is considered. The proposed...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2016-12-01
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| Series: | Information Technology and Management Science |
| Subjects: | |
| Online Access: | http://www.degruyter.com/view/j/itms.2016.19.issue-1/itms-2016-0006/itms-2016-0006.xml?format=INT |