0 bookmark(s) - Sort by: Date ↓ / Title / - Bookmarks from other users for this tag
from sklearn.neighbors import NearestCentroid import numpy as np X = np.array( [-1, -1 » , -2, -1 » , -3, -2 » , 1, 1 » , 2, 1 » , 3, 2 » ]) y = np.array( 1, 1, 1, 2, 2, 2 » ) clf = NearestCentroid() clf.fit(X, y) NearestCentroid()
print(clf.predict( [-0.8, -1 » ])) 1 »
In your example if you use PCA to initialize your t-SNE you get widely spaced centroids; if you use random initialization you'll get tiny centroids and an uninteresting picture.
First / Previous / Next / Last
/ Page 1 of 0