Hi,
to get a good and intuitive idea whether a new image similarity measure works well or not I`d like to cluster my images (many of them, lets assume 10k) by their respective similarity to each other - I can calculate all these cluster using various different approaches - my question is more on how to visualize the end result including the clustered images (while the actual clustering of course works on a feature vector). I could imagine to create a network where each node is represented by its image value - or anything else really that gives a quick visual idea whether the metric makes sense. Does KNIME support any of those approaches? I am also open to new suggestions :)
Best,
Alex