1. A computer implemented method for directed machine learning comprising: receiving a plurality of features including an intensity data feature and an location data feature of an image; condensing the intensity data feature and the location data feature into a feature vector; processing the common feature vector by each of a plurality of classifiers, each classifier trained for a respective trained class among a plurality of classes; outputting, from each classifier, a value of the feature vector corresponding to the respective trained class; and assigning the feature vector a label according to a comparison of the values of the classifiers, wherein the label corresponds to a classifier having a selected value from among the values of the classifiers, and wherein the assignment produces a segmentation of the image.