In [ ]:

    

from planet4 import get_data, markings

gold_ids = get_data.common_gold_ids()

p4img = markings.ImageID(gold_ids[10])
golddata = p4img.data[p4img.data.user_name.isin(markings.gold_members)]
golddata = golddata[golddata.marking == 'fan']


    

In [ ]:

    

from sklearn import preprocessing


    

In [ ]:

    

cols = 'x y'.split()
X = p4img.get_blotches()[cols].values


    

In [ ]:

    

X.mean(axis=0)


    

In [ ]:

    

X_scaled = preprocessing.scale(X)


    

In [ ]:

    

X_scaled.mean(axis=0)


    

In [ ]:

    

X_scaled.std(axis=0)


    

In [ ]:

    

X.std(axis=0)


    

In [ ]:

    

from sklearn.cluster import DBSCAN


    

In [ ]:

    

DBSCAN?


    

In [ ]:

    

from sklearn.metrics import pairwise


    

In [ ]:

    

pairwise.PAIRWISE_DISTANCE_FUNCTIONS


    

In [ ]: