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.c... . Does anyone of you can help me find these functions? Thank you in advance Regards, Zayd
On Thu, Mar 1, 2012 at 8:43 AM, Zayd YAKOUBI <zayd.yakoubi@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.c... . 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.h... http://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.distance.j... 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
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 ? thank you for your help Saisissez du texte, l'adresse d'un site Web ou importez un document à traduire. <http://translate.google.fr/?tr=f&hl=fr> Annuler <http://translate.google.fr/?tr=t&hl=fr> Alpha Regards, Zayd <https://sites.google.com/site/yakoubizayd/> 2012/3/1 Warren Weckesser <warren.weckesser@enthought.com>
On Thu, Mar 1, 2012 at 8:43 AM, Zayd YAKOUBI <zayd.yakoubi@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.c... . 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.h...
http://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.distance.j...
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
On Thu, Mar 1, 2012 at 10:10 AM, Zayd YAKOUBI <zayd.yakoubi@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.weckesser@enthought.com>
On Thu, Mar 1, 2012 at 8:43 AM, Zayd YAKOUBI <zayd.yakoubi@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.c.... 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.h...
http://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.distance.j...
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
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Zayd YAKOUBI