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Random forest kernel for high-dimension low sample size classification

Lucca Portes Cavalheiro, Simon Bernard, Jean Paul Barddal, Laurent Heutte

2023Statistics and Computing15 citationsDOIOpen Access PDF

Topics & Concepts

Random forestArtificial intelligenceDimension (graph theory)Machine learningComputer scienceTransposeSupport vector machineContext (archaeology)Kernel (algebra)Similarity (geometry)Pattern recognition (psychology)Kernel methodSample (material)Metric (unit)Data miningMathematicsImage (mathematics)Quantum mechanicsPure mathematicsPhysicsBiologyCombinatoricsEigenvalues and eigenvectorsChromatographyChemistryEconomicsOperations managementPaleontologyMachine Learning and Data ClassificationFace and Expression RecognitionAdvanced Image and Video Retrieval Techniques
Random forest kernel for high-dimension low sample size classification | Litcius