Principal component analysis (PCA) is a commonly used dimensionality reduction technique, based on singular value decomposition (SVD)41. SVD results in a transformation of the coordinate system of feature space into an equal number of ‘principal components’ (PCs). The transformation into PC space...
I think there is agreement in the group that DIDs may be used to identify entities such as people, agents, IoT devices, etc. What about using DIDs to identify things that are incapable of interacting using cryptographic keys? What if the...