[scikit-learn] sklearn.cluster.Birch

[Şükrü Bezen]

Hi,

You may have one last separator at the end of every row in your data which
makes your rows create one extra empty entity which results with that error.
Or maybe your data can not be cast into float?

If you provide an example row, I could help more.

Best,

On Mon, Apr 10, 2017 at 2:29 PM, Sema Atasever <s.atasever at gmail.com> wrote:

> Dear Manoj,
>
> Thanks for your answer but when i execute the code below i get this error
> :  "*ValueError: could not convert string to float:*"
>
> How can i solve this error.
>
> Regards.
>
> ---------------------------------------------
> from sklearn.cluster import Birch
> from io import StringIO
> import numpy as np
>
> X=np.loadtxt(open("C:\features.dat", "rb"), delimiter="\t")
>
>
> brc = Birch(branching_factor=50, n_clusters=None,
> threshold=0.5,compute_labels=True)
> brc.fit(X)
> Birch(branching_factor=50, compute_labels=True, copy=True,
> n_clusters=None,threshold=0.5)
> brc.predict(X)
>
> print(brc.predict(X))
>
> On Thu, Apr 6, 2017 at 4:29 PM, Manoj Kumar <manojkumarsivaraj334 at gmail.
> com> wrote:
>
>> Hi, See: https://docs.scipy.org/doc/numpy/reference/generated/numpy.
>> loadtxt.html for one way.
>>
>> On Thu, Apr 6, 2017 at 8:27 AM, Sema Atasever <s.atasever at gmail.com>
>> wrote:
>>
>>> Dear scikit-learn members,
>>>
>>> I have a dat file where the columns represent the features and the rows
>>> represent the protein. (you can see the dat file in the attachment)
>>>
>>>
>>> i want to use *sklearn.cluster.Birch* with this text file values as X
>>> which is the
>>>
>>> Parameters:
>>> X : {array-like, sparse matrix}
>>>
>>> How can i transform this text file values into X : {array-like, sparse
>>> matrix}.
>>>
>>> I would appreciate if you could advise on some methods.
>>> Thanks.
>>>
>>> _______________________________________________
>>> scikit-learn mailing list
>>> scikit-learn at python.org
>>> https://mail.python.org/mailman/listinfo/scikit-learn
>>>
>>>
>>
>>
>> --
>> Manoj,
>> http://github.com/MechCoder
>>
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>>
>>
>
> _______________________________________________
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>


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