Premature Ventricular Contractions’ Detection Based on Active Learning

Table 1

The algorithm of k-means++.

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Algorithm K-means ++

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Input: Training data Z = (x_i, y_i), i = 1, …, N,

   Number of selected centroids K.

initiation centroids = [one random selected points]

For j from 1 to K − 1

  Distance ← { }

  For t from 1 to length (centroids)

   compute distances of “point” in Z to centroids

   and store the point P with minimum distance

End

 centroids = centroids + P

End

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