Open jkomoros opened 2 years ago
Ideally we'd find cards that both share a very rare bigram (but only once) and boost that. The normal fingerprints boost the overlapping explicit concepts, but I also want to find the two cards that both mention "meta plans"
The output of this would be perhaps a list where each clique was named by an identifier (maybe the ID of the most centroid card?) and then the result list is sorted by that, and we give a label of the cluster ID for each one, so there's a clear thing in the UI about which one is which.
And then you could have another filter, or a version of the filter, that takes a card-ID, and only returns the cluster that that specific card is in
this might require a force-graph-layout based on similarity to have a euclidean x,y coordinate then a graph partitioning
Cluster cards into cliques based not just on explicit links but also high semantic overlap.
"K-means clustering"? Something like that?
Likely somewhat expensive, and likely needs some kind of tunable threshold.
Ideally an explicit configurable filter. Related to #570 in terms of use case