K-modes algorithm is available here
I want to do clustering of my binary dataset. I need to specify the number of clusters that I need as an output:
KModes (n_clusters, init, n_init, verbose)
My dataset contains 1000 lines and 1000 rows, I want to calculate the distance between my clusters in order to know the exact number of cluster that I need to choose. I don't know how to compare between them. Probably I want to use the hamming distance because it is the most suitable distance to compare between binary data.
Any recommendations that you can give are welcomed.