Update README.md

README.md

@@ -62,7 +62,7 @@ import classix
 data, labels = classix.loadData('Covid3MC')
 # or one can use Gaussian blobs for a quick try:
 # from sklearn.datasets import make_blobs
-# data, labels  make_blobs(n_samples=1000, centers=3, n_features=2, random_state=0)
+# data, labels = make_blobs(n_samples=1000, centers=3, n_features=2, random_state=0)
 
 # Call CLASSIX
 clx = classix.CLASSIX(radius=0.2, minPts=500, verbose=0)