An Introspective Comparison of Random Forest-Based Classifiers for the Analysis of Cluster-Correlated Data by Way of RF - Karpievitch, Yuliya V.; Hill, Elizabeth G.; Leclerc, Anthony P.; Dabney, Alan R.; Almeida, Jonas S. (PloS one, 2009)
Keywords: Algorithms; Alzheimer's disease; Alzheimers disease; Bioinformatics; Biomarkers; Classification; Cluster Analysis; Clusters; Comparative analysis; Computer Simulation; Correlation analysis; Data mining; Data processing; Decision trees; Downloading; Error correction; Forests; Gene Expression Profiling - methods; Genetics and Genomics/Bioinformatics; Graphical user interface; Indexing; Machine learning; Mass spectrometry; Mass spectroscopy; Mathematics/Statistics; Models, Genetic; Models, Statistical; Molecular Biology/Bioinformatics; Normal distribution; Oligonucleotide Array Sequence Analysis - methods; Ovarian cancer; Pattern Recognition, Automated - methods; Post-processing; Post-production processing; Proteins; Proteomics; Resampling; Sampling methods; Scientific imaging; Software; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods; Statistical methods; Variables; Windows (computer programs); United States--US; Texas; South Carolina