2013/12/4 abhishek <[email protected]>: > hi Olivier, > > Thanks for the reply. > > In my case each row of X contains two normal distributions (one 1-D and > second 2-D). > So a row of X looks like this : [ [mean1(1x1)] [variance1(1x1)] [mean2 > (1x2)] [variance2(2x2)] ] > In case of normal distributions, do you think features will be preserved if > i flatten mean2 and variance2 ?
I have no idea of what you are trying to do so I cannot answer that question. To me a meaningful feature is a description of a physical quantity: a price in dollars, a pixel intensity in an picture, a duration in seconds, a date of an event described by the hour of the day, the day of the week, the week of the year, a temperature in degrees, the frequency of a given word in the text body of a email, a category assignment (e.g. ) for the object beeing described... -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ Sponsored by Intel(R) XDK Develop, test and display web and hybrid apps with a single code base. Download it for free now! http://pubads.g.doubleclick.net/gampad/clk?id=111408631&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
