We develop two models: (a) Language dependent Classifier which takes a feature vector that incorporates diagnostic scores (as shown in Table 6) and (b) Language Independent Classifier which takes feature vector with binary values as shown in Table 3.
in order to show that the tripartite classification model handles the distribution better than the bipartite model, we use a mathematical formulation which maximizes the inter-class scatter and minimizes the intra-class scatter.