klotz: knn* + python*

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  1. 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 »

    2021-09-02 Tags: , , , , by klotz
  2. 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.

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