While performing Confusion matrix, how much does it effect the utilization of background data as a class in it? Should it be used while generating the overall accuracy or not?
You may use a minimum distance to means or a maximum likelihood classifiers, but the result depends on the distribution of your data, so you should compare it with some reference data.