How can I change feature's weight for K-Means clustering?
<p>I'm using Scikit-learn for clustering a corpus of tweets (only the text) about of the #oscars.</p>

<p>It would be really useful if an username such as @LeonardoDiCaprio or a hashtag like #redcarpet can be considered as more significant in the preproces.</p>

<p>I would like to know if it is possible to add more weight to those common usernames and hashtags for being more important features. </p>