Clustering of pancreatic endocrine tumors via microarray gene expression analysis

A simple, multivariable and linearly initialized clustering is shown to be able to deal with unsupervised classification of the data originating from pancreatic 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.