Hi all, I would like to ask if the density estimation implementation of scikit works with multivariate multimodal data. In the digits example [1] it is clear that it supports multivariate datasets and in the guide description [2] a 1-D bimodal distribution is used.
Is it possible to use the same implementation on multivariate gaussian-shaped data with more than 2 modes? If so, are there any shortcomings or useful tips when doing that? Thanks in advance, José [1] http://scikit-learn.org/stable/auto_examples/neighbors/plot_digits_kde_sampling.html#example-neighbors-plot-digits-kde-sampling-py [2] http://scikit-learn.org/stable/modules/density.html#kernel-density-estimation José Guilherme ------------------------------------------------------------------------------ Comprehensive Server Monitoring with Site24x7. Monitor 10 servers for $9/Month. Get alerted through email, SMS, voice calls or mobile push notifications. Take corrective actions from your mobile device. http://p.sf.net/sfu/Zoho _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
