A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data - researchr publication

researchr

You are not signed in
Sign in
Sign up

Bjoern H. Menze, B. Michael Kelm, Ralf Masuch, Uwe Himmelreich, Peter Bachert, Wolfgang Petrich, Fred A. Hamprecht. A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data. BMC Bioinformatics, 10, 2009. [doi]

Abstract is missing.

runs on WebDSL