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ModelStats now has a top_k_images_by_cluster property - a matrix whose entries A[i,j] correspond to the image id of the j'th ranked image in cluster i, according to (euclidean) distance to cluster center. We are clustering FC10 outputs of all the images.
We are now clustering by "probs" - once #17 is fixed, this will hopefully look better.
I have also added a property called "cluster_centers" to model stats that contains the centroids for the clusters. This could be useful for display somehow.
Cluster images by fc10 output - display images closest to cluster center.
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