A simple, multivariable and linearly initial- ized clustering is shown to be able to deal with unsu- pervised classification of the data originating from pan- creatic endocrine tumors (PET). Results are discussed almost only on the data science side, leaving a more biological discussion to future work, even in the quest of possible hidden pathways.
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