The shape property gives the number of rows (20) and columns (4) of the result matrix, as a Python ... grouped by cluster: def display(raw_data, clustering, k): (n, dim) = raw_data.shape print("-----" ...

we can start clustering keywords. We will be treating any keywords that have a weighted similarity of 40% or more. # group keywords by search intent simi_lim = 0.4 # join search volume keysv_df ...

Group similar keywords into campaign ideas for Ads. If you’ve been following my work on Twitter, you’ll know I’ve been experimenting with keyword clustering for a while now. Earlier versions ...

This shift has made semantic SEO essential, and Python a practical tool for putting it into action through Natural Language ...