Comparison of incremental linear dimension reduction methods for streaming data
PATTERN RECOGNITION LETTERS(2020)
摘要
•We compared incremental linear dimension reduction algorithms for streaming data.•Performance comparison was conducted in various streaming environments.•Classification in low or high dimensional data streams with concept drift is compared.•ILS combined with CCIPCA can give high prediction accuracy but low time complexity.
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关键词
Concept drift,Incremental dimension reduction method,Linear discriminant analysis,Principal component analysis,Streaming data
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