Comments (2)
hdbscan needs to compute a minimum spanning tree (MST) on the mutual reachability matrix (which is calculated from the distance matrix). What we would need is a way to go from the data directly to the MST without storing the whole distance/mutual reachability matrix for at least Euclidean distance. I am not quite sure how to do that... Ideas?
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Initially I thought that this could have been covered with some bigmemory backend or even altrep but probably there exists smarter ways. I should probably have a look more in detail to the mutual reachability matrix calculation (https://github.com/mhahsler/dbscan/blob/master/src/mrd.cpp#L6) before I can provide you with ideas.
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Related Issues (20)
- BD-trees
- DBSCAN with categorica/factor/dummy variables HOT 1
- LOF edge case HOT 2
- LOF fails after upgrading to dbscan 1.1-6 HOT 2
- Possible Memory Leak HOT 2
- kNN crashing (segfault) when matrix has Inf values HOT 1
- mrdist error in large datasets HOT 3
- frNN object created from scratch couldn't be used in dbscan HOT 6
- Error in mrd(x_dist, coredist) : number of mutual reachability distance values and size of the distances do not agree. HOT 6
- DBSCAN for trajectories HOT 4
- Getting an error when using predict: x has to be a numeric matrix. HOT 2
- may you clarify is multi-density clustering is implemented, since it is mentioned on references ? HOT 1
- R session aborted in pointdensity() HOT 4
- Add broom tidier methods HOT 9
- Allow setting cluster_selection_epsilon in hdbscan() HOT 6
- `hdbscan` documenting params that are not used HOT 1
- Add minimum R version to DESCRIPTION
- pkgdown website for package HOT 2
- Request for integration of ST-DBSCAN algorithm for spatio-temporal clustering HOT 2
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