A new supervised classification method is built on Minimum Spanning Trees, with a robust efficient version tested in simulations and on aircraft trajectory data.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.LG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Random feature selection outperforms many state-of-the-art unsupervised feature selection methods on standard performance and efficiency metrics.
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A new classification method based on Minimum Spanning Trees
A new supervised classification method is built on Minimum Spanning Trees, with a robust efficient version tested in simulations and on aircraft trajectory data.
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Worse than Random: The Importance of a Baseline for Unsupervised Feature Selection
Random feature selection outperforms many state-of-the-art unsupervised feature selection methods on standard performance and efficiency metrics.