Timeline for Joint spatial clustering: How to force clusters to minimally contain datapoints from all datasets
Current License: CC BY-SA 3.0
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| Jul 14, 2015 at 14:17 | comment | added | malbert | Outliers would be points that in deed don't have correspondence in all datasets. Still I was looking for a way to constrain the clustering for enforcing memberships from all datasets, which in case of the outliers would be too costly. I agree that using a fuzzy clustering might be a good idea, because defining cluster membership could then be assigned using some trade off criterium which on this postprocessing level might be easier to formulate. Thanks! | |
| Jul 6, 2015 at 20:42 | history | answered | Jabberwockey | CC BY-SA 3.0 |