I'm using K-Means algorithm (in sklearn) to cluster 1-D array of values, and I want to decide the optimal number of clusters (K) in my script. I'm familiar with
I have a database of images that contains identity cards, bills and passports. I want to classify these images into different groups (i.e identity cards, bills