Dimension reduction and outlier detection of 3-D shapes derived from multi-organ CT images
{{output}}
Background: Unsupervised clustering and outlier detection are important in medical research to understand the distributional composition of a collective of patients. A number of clustering methods exist, also for high-dimensional... ...
