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Hi,
Thanks for sharing this resource. I am just wondering if the module can impose some constraints on the cluster. Similar to "force certain nodes to always be clustered together" but the reverse. That is, forcing certain nodes not to be clustered together.
Thanks
The text was updated successfully, but these errors were encountered:
The way I tackled this before was to pre-emptively cut, or decrease edge weights (sometimes to negative values), between nodes that I didn't want connected. Even though your neighbor of your neighbor might be connected, causing a grouping to include both of said nodes, it was the best way to adjust the model to represent "these two distinct items are unrelated" so that larger grouping might be a higher level concept that encompasses the two distinct sub-concepts if the grouping is large enough.
Another way to achieve a similar effect is to extend the class and overwrite quality_difference to account for disinterested elements.
To make it truly force unique clusters the combine_clusters method would need to be changed to account for this.
Hi,
Thanks for sharing this resource. I am just wondering if the module can impose some constraints on the cluster. Similar to "force certain nodes to always be clustered together" but the reverse. That is, forcing certain nodes not to be clustered together.
Thanks
The text was updated successfully, but these errors were encountered: