Collages from limited number of clusters.

Posted: July 17, 2017 at 5:13 pm

In working on Dreaming, I recalculated the K-Means segment clusters (percepts)  with only 1000 means (there were 200,000 previously). The images below show the results. It seems that when it comes to collages, the most interesting segments are the outliers (and I expect probably the raw segments). The fact that so many segments get averaged in these clusters means they end up being very small and 1000 is just not enough to capture the width and height features (hence the two very wide and very tall percepts). Clearly, the colour palette is still preserved, but that is pretty much it. The areas of colour below are so small that these images end up being only 1024px or smaller wide. These SOMs are trained over only 10,000 iterations to get a sense of what all the percepts look like together.

SOMResults_10000_0-999-Collage-1-0.0625 SOMResults_10000_0-999-Collage-1-0.0313