Code, report, and data for classifying a large number of images into two categories.
dogcat_sim.R # File submitted to Gauss for computation
dogcat_sim.sh # File submitted to Gauss to handle the array job
dogcat_misc.R # Misc. code such as initial data conversion & recombining
dogcat_class.R # Classification methods used
data_matrix.RData # The entire matrix of color values. WARNING: Very large!
dogcat_class_results.RData # Contains variables from classification (time to run, glm objects)
glm_curve.png # Represents the classification curve for penalized GLM
rf_error.png # Shows error rate for random forests given the number of trees