On Thu, Mar 1, 2012 at 10:10 AM, Zayd YAKOUBI <zayd.yako...@gmail.com> wrote: > thank you very much, > In fact, the functions of these two measures are for binary vectors, and I > have not found their extension to real data such as: 0.7, 0.9, 1.7 .... > Knowing that I applied to this data and it worked well.. > > Have an idea about the version of these functions for this type of data ?
for hamming just guessing : 1 - np.mean(x==y) which might depend on the implementation >>> spatial.distance.hamming([0,0.5,1,2], np.ones(4)) 0.75 >>> 1 - np.mean([0,0.5,1,2] == np.ones(4)) 0.75 >>> spatial.distance.hamming([0,0.5,1,1], np.ones(4)) 0.5 >>> 1 - np.mean([0,0.5,1,1] == np.ones(4)) 0.5 However I wouldn't trust it for floating point numbers, unless you are sure about the floating point representation >>> [0,0.5,3,2], [0,0.5,np.sqrt(3)**2,2] ([0, 0.5, 3, 2], [0, 0.5, 2.9999999999999996, 2]) >>> spatial.distance.hamming([0,0.5,3,2], [0,0.5,np.sqrt(3)**2,2]) 0.25 >>> spatial.distance.hamming([0,0.5,3,2], [0,0.5,3,2]) 0.0 Josef > > thank you for your help > Saisissez du texte, l'adresse d'un site Web ou importez un document à > traduire. > Annuler > Alpha > > Regards, > Zayd > > > > > 2012/3/1 Warren Weckesser <warren.weckes...@enthought.com> >> >> >> >> On Thu, Mar 1, 2012 at 8:43 AM, Zayd YAKOUBI <zayd.yako...@gmail.com> >> wrote: >>> >>> Hello, >>> >>> I use the similarity measure "Jaccard" and "Hamming" of pckage >>> Scipy.spacial.cdist (Python) in a clustering context, I applied to given >>> typs of real and integer (0.6 0.2 1.7 May 8 ). They gave good results. But I >>> just know that they normally only applies to binary data. The function of >>> these two similarity measures are not specified in the documentation: >>> http://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.distance.cdist.html. >>> Does anyone of you can help me find these functions? >>> Thank you in advance >>> >> >> >> >> http://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.distance.hamming.html#scipy.spatial.distance.hamming >> >> >> http://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.distance.jaccard.html#scipy.spatial.distance.jaccard >> >> >> Those are the nicely formatted versions of the docstrings of functions. >> You can also access these in an interactive shell, e.g. >> >> >>> from scipy.spatial.distance import hamming >> >>> help(hamming) >> >> or in ipython >> >> In [1] from scipy.spatial.distance import hamming >> In [2] hamming? >> >> >> Warren >> >> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> http://mail.scipy.org/mailman/listinfo/numpy-discussion >> > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
