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Steps of K-means algorithm

Steps of K-means algorithm. Initialize Centers at random sample locations. Reassign labels to nearest centers. Recompute Centers according to new labels. Initialize Centers at random sample locations. Reassign labels to nearest centers. Initialize Centers at random sample locations.

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Steps of K-means algorithm

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  1. Steps of K-means algorithm

  2. Initialize Centers at random sample locations

  3. Reassign labels to nearest centers

  4. Recompute Centers according to new labels

  5. Initialize Centers at random sample locations Reassign labels to nearest centers

  6. Initialize Centers at random sample locations Recompute Centers according to new labels NO CHANGE => FINISHED!

  7. Alternative Initializations

  8. Initialize Centers at random locations within bounds bounds Randomly generated profiles

  9. Initialize Centers at `evenly’ distributed points bounds `Evenly’ spaced profiles

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