Figure 1.

The data classification procedure. The three step data classification process resulted with seven ILD sensitivity functions data groups. In this three-step process; (1st) several data normalization techniques tested for our data and the UTPM (unit total probability mass) data normalization method was most suitable one, (2nd) first three principal components of PCA were selected and these were good enough to present entire data by the 97.6 % variance explained, (3rd) Cluster Analysis based on the Ward linkage and Cosine pairwise-distance algorithms those selected algorithms helped to compose a dendrogram where Inconsistency Coefficient determines the number of clustered data.

Uragun and Rajan BMC Neuroscience 2013 14:114   doi:10.1186/1471-2202-14-114
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