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A short-term memory clustering algorithm for evolving data streams
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DOI：10.1016/j.asoc.2025.113442.png)
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Abstract
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• Using a short-term memory mechanism to achieve streaming clustering. • Applying a dynamic projection strategy based on sliding windows to address concept drift. • Designing an adaptive cell group radius merge method to address the issue of decreased accuracy over time.
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6.6
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1.4W
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4.8W
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SOFT COMPUTING
SOFT COMPUTINGIF2.5
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