Version 1.5 of CAJAL incorporates two significant new pieces of functionality for the analysis of neuron morphology, unbalanced Gromov-Wasserstein (a matching tool which allows for partial or incomplete matches) and fused Gromov-Wasserstein (a tool which allows the incorporation of additional feature data about neuron nodes, e.g., soma or dendrite.)
These are discussed in detail in the documentation in a worked example tutorial and, at a more theoretical level, here.
- Cleaned up function signatures - making function signatures more uniform between Euclidean and geodesic functions, removing unused parameters
- Removed source of nondeterminism/non-reproducibility in Louvain clustering algorithm
- Added optional dependencies for usage in the Docker image
- Restored parallelism to SWC sampling
- Fixed bug in implementation of Weighted Nearest Neighbors algorithm