An efficient random forests algorithm for high dimensional data classification

DOI10.1007/S11634-018-0318-1zbMath1416.62366OpenAlexW2789630305WikidataQ130094882 ScholiaQ130094882MaRDI QIDQ1630851

Y. Aharonov

Publication date: 5 December 2018

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11634-018-0318-1

zbMATH Keywords

classificationdata miningimage classificationrandom forestshigh dimensional data

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Pattern recognition, speech recognition (68T10)

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Uses Software

• Quantregforest
• RRF

Cites Work

• Two-level quantile regression forests for bias correction in range prediction
• Random forests
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