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Is your feature request related to a problem? Please describe.
For the feature affinity matrices (redundancy matrix, synergy matrix, association matrix), it's super helpful to have features already in an order to highlight clusters visually. However, in the dendograms the order differs (due to an additional sorting step with respect to feature importance).
Describe the solution you'd like
Apply the dendogram order to the matrices, so you can "rediscover" the already identified clusters when switching visualizations.
Describe alternatives you've considered
Could also adjust the dendogram ordering to match the current matrix ordering, but I think it's helpful to guide the ordering by feature importance, also for the matrices.
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
For the feature affinity matrices (redundancy matrix, synergy matrix, association matrix), it's super helpful to have features already in an order to highlight clusters visually. However, in the dendograms the order differs (due to an additional sorting step with respect to feature importance).
Describe the solution you'd like
Apply the dendogram order to the matrices, so you can "rediscover" the already identified clusters when switching visualizations.
Describe alternatives you've considered
Could also adjust the dendogram ordering to match the current matrix ordering, but I think it's helpful to guide the ordering by feature importance, also for the matrices.
The text was updated successfully, but these errors were encountered: