Hi all, I have a sparse matrix where each row (item) has 160 features. For each of them only three or four features are different by 0. Can I do clustering with this data? I’m thinking to use PCA to reduce dimensionality.
Thanks for any answer. Luigi _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
