https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_blobs.html
高斯聚類生成器用法
from sklearn.datasets import make_blobs
from matplotlib import pyplot
%matplotlib inline
data,target=make_blobs(n_samples=100,n_features=2,centers=3)
print("data=",data)
print("target=",target)
# 在2D圖中繪製樣本，每個樣本顏色不同
pyplot.scatter(data[:,0],data[:,1],c=target);
pyplot.show()
#result
data= [[ 2.37778754e-01 5.34540864e+00] [ 9.43029034e+00 8.01781401e+00] [ 1.09039688e+01 7.18590884e+00] [ 1.71043958e+00 6.84998296e+00] [ 1.12733230e+01 8.12412322e+00] [ 5.30157065e-02 5.48539301e+00] [ 1.07639896e+01 9.00512473e+00] [ 1.03762851e+01 8.21121642e+00] [ 8.01646777e-01 6.08279797e+00] [ 3.76261970e-01 1.71349284e+00] [ 8.65289556e+00 8.21177534e+00] [ 9.28225378e+00 1.00671841e+01] [ 1.01404941e+00 5.33888426e+00] [ 1.06928640e+01 7.97318301e+00] [ 2.53903673e+00 7.12754408e+00] [ 1.00647103e+01 8.11526302e+00] [-2.48669510e+00 -1.45847836e+00] [-6.63113954e-02 -6.38192796e-01] [ 9.19505734e+00 8.00221310e+00] [ 2.22136420e+00 5.57128882e+00] [-4.19364627e-01 6.42245024e+00] [-1.02018619e+00 -6.59435275e-01] [ 1.48320391e+00 2.46602257e-01] [ 9.95355586e+00 8.25950767e+00] [-7.84308723e-01 5.32462523e+00] [ 8.91115061e+00 7.87000236e+00] [-1.73549467e-01 4.27386167e+00] [ 8.52190703e-01 6.41413752e+00] [ 8.82753945e+00 7.94176793e+00] [ 4.46892971e-01 -9.68505563e-01] [ 1.04606362e+01 8.39048186e+00] [-3.34145729e-01 9.60480901e-01] [-4.34291690e-01 6.56151293e+00] [ 1.19510216e+01 6.04081596e+00] [ 1.16326443e+00 7.11074547e+00] [ 8.41762551e+00 7.63451500e+00] [-7.17734386e-01 7.75050883e+00] [-2.04852317e+00 -1.81743389e+00] [-8.17865590e-01 -2.75349419e-01] [ 7.16402770e-01 6.86687358e+00] [ 1.19246943e-02 8.33435411e+00] [ 1.39702449e-01 -1.80224638e+00] [ 9.69484430e+00 9.37357095e+00] [-4.74924304e-03 5.35619672e+00] [ 1.02591184e+01 7.58379139e+00] [-8.47873102e-01 5.95889293e+00] [ 1.01709232e+01 5.62951252e+00] [ 9.87628823e+00 8.16479797e+00] [ 7.98526753e-02 -3.46310001e+00] [ 6.12151066e-02 -4.51278752e-01] [ 1.01291613e+01 9.04605887e+00] [ 1.19742015e+00 8.46857159e-01] [-5.81416100e-01 -1.03564530e-01] [ 6.59044793e-01 7.75215070e+00] [ 2.44776077e+00 8.45442572e+00] [ 9.32591274e+00 8.51683645e+00] [ 9.96730027e+00 7.20233213e+00] [-9.90862152e-01 1.16890402e+00] [ 5.55795432e-01 7.13378127e+00] [ 9.44792266e+00 7.74220922e+00] [-4.97665816e-01 4.96654007e-01] [ 1.04701753e+01 7.00829225e+00] [ 2.01155344e-01 7.52179777e+00] [ 1.07657614e+01 5.16882248e+00] [ 2.25189003e+00 6.98515582e+00] [ 1.60973303e+00 6.34679948e+00] [ 2.16425124e+00 6.12305437e+00] [ 3.07379285e+00 5.48999608e+00] [-2.01448936e+00 5.92072584e-01] [ 8.12886295e-01 7.63180927e+00] [-1.28743498e+00 2.03617716e-01] [ 1.09486550e+01 7.20695687e+00] [ 7.85612429e-01 4.58333132e+00] [-1.29152168e+00 2.64125709e-01] [ 2.42682971e-01 7.50872787e-01] [-7.00041339e-01 -9.17176679e-01] [ 2.23726982e-01 8.59291240e-01] [-1.21700319e-01 -6.85518520e-01] [-8.03248482e-01 -5.85764813e-01] [-4.51262381e-01 7.52295177e-01] [-1.64432005e+00 -1.26268010e-01] [ 1.10911877e+01 9.48378607e+00] [ 3.00451544e+00 7.74355395e+00] [-2.79661482e-01 4.37687083e-01] [ 1.11269760e+01 9.52731016e+00] [ 1.23213430e+00 8.65009894e+00] [ 9.84329476e+00 8.31809617e+00] [-2.05926077e+00 -9.70697877e-02] [-2.20220487e+00 -5.20657739e-01] [ 1.30245997e-01 4.57876448e+00] [-1.33510994e+00 1.88213292e+00] [-4.20060629e-01 -1.42239086e+00] [ 9.54918966e+00 7.29709483e+00] [ 1.01813947e+00 6.63700027e+00] [ 9.69588505e+00 6.76908564e+00] [-4.10605045e-01 1.98129635e-01] [ 1.75290554e+00 6.62615978e+00] [ 9.88330553e+00 5.88636939e+00] [ 8.45149590e-01 7.33380471e+00] [-1.10159753e+00 -7.66277916e-01]] target= [0 1 1 0 1 0 1 1 0 2 1 1 0 1 0 1 2 2 1 0 0 2 2 1 0 1 0 0 1 2 1 2 0 1 0 1 0 2 2 0 0 2 1 0 1 0 1 1 2 2 1 2 2 0 0 1 1 2 0 1 2 1 0 1 0 0 0 0 2 0 2 1 0 2 2 2 2 2 2 2 2 1 0 2 1 0 1 2 2 0 2 2 1 0 1 2 0 1 0 2]
