Comments (2)
jordanmontt
commented on September 14, 2024
Fixed
from k-means.
jordanmontt
commented on September 14, 2024
Actually this is not fixed. It is still a valid issue. Now you have the posibility of defining the initial centroids. But when initializing the centroids if taking those centroids as the best one possibles of the moment. See AIKMeans>>#centroids:
The expected behavior of this issue is to initialize the initial centroids and then starting to run the algo from those centroids. Not to take those centroids as the best ones possible.
from k-means.
Related Issues (14)
- Prefix classes with ML? HOT 1
- Double dispatch for #fit: method HOT 1
- Add tests HOT 1
- Add class comment!!!
- Rename package and baseline to follow ML* HOT 1
- Implement k-means++ centroids choosing algo HOT 2
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- Add parameter to run the k-means algo several times and return the best found cluster
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- nbClusters should be between 1 and data size HOT 1
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