Performance comparison of the EM MSTkNN with k-Means, SOM, CLICK and the original MSTkNN algorithms, in terms of homogeneity and separation.

The implementations of the k-Means, SOM, CLICK algorithms are obtained from the Expander microarray data cluster tool in [124]. The homogeneity and separation are computed using the definition in [124]. The AD ratio metafeatures data set is generated by taking pair-wise ratios between the features in 1,372-probe AD signatures [5] and including MMSE score, NFT count, Braak staging, JSD_control and JSD_severe as five progression markers. The other data set contains four different types of metafeatures (ratios, summations, differences and products) and the aforementioned progression markers.