[scikit-learn] urgent help in scikit-learn

[Shane Grigsby]

Since you're using lat / long coords, you'll also want to convert them 
to radians and specify 'haversine' as your distance metric; i.e. :

    coords = np.vstack([lats.ravel(),longs.ravel()]).T
    coords *= np.pi / 180. # to radians

...and:

    db = DBSCAN(eps=0.3, min_samples=10, metric='haversine')
    # replace eps and min_samples as appropriate
    db.fit(coords)

Cheers,
Shane

On 03/30, Sebastian Raschka wrote:
>Hi, Shuchi,
>
>> 1. How can I add data to the data set of the package?
>
>You don’t need to add your dataset to the dataset module to run your analysis. A convenient way to load it into a numpy array would be via pandas. E.g.,
>
>import pandas as pd
>df = pd.read_csv(‘your_data.txt', delimiter=r"\s+”)
>X = df.values
>
>> 2. How I can calculate Rand index for my data?
>
>After you ran the clustering, you can use the “adjusted_rand_score” function, e.g., see
>http://scikit-learn.org/stable/modules/clustering.html#adjusted-rand-score
>
>> 3. How to use make_blobs command for my data?
>
>The make_blobs command is just a utility function to create toydatasets, you wouldn’t need it in your case since you already have “real” data.
>
>Best,
>Sebastian
>
>
>> On Mar 30, 2017, at 4:51 AM, Shuchi Mala <shuchi.23 at gmail.com> wrote:
>>
>> Hi everyone,
>>
>> I have the data with following attributes: (Latitude, Longitude). Now I am performing clustering using DBSCAN for my data. I have following doubts:
>>
>> 1. How can I add data to the data set of the package?
>> 2. How I can calculate Rand index for my data?
>> 3. How to use make_blobs command for my data?
>>
>> Sample of my data is :
>> Latitude	Longitude
>> 37.76901	-122.429299
>> 37.76904	-122.42913
>> 37.76878	-122.429092
>> 37.7763	-122.424249
>> 37.77627	-122.424657
>>
>>
>> With Best Regards,
>> Shuchi  Mala
>> Research Scholar
>> Department of Civil Engineering
>> MNIT Jaipur
>>
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>
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*Cooperative Institute for Research in Environmental Sciences (CIRES)*
*University of Colorado at Boulder*