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Asked: 2026-06-05T20:12:02+00:00

Is there a way to perform sequential k-means clustering using scikit-learn? I can’t seem

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Is there a way to perform sequential k-means clustering using scikit-learn? I can’t seem to find a proper way to add new data, without re-fitting all the data.

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  1. Editorial Team

    scikit-learn’s KMeans class has a predict method that, given some (new) points, determines which of the clusters these points would belong to. Calling this method does not change the cluster centroids.

    If you do want the centroids to be changed by the addition of new data, i.e. you want to do clustering in an online setting, use the MiniBatchKMeans estimator and its partial_fit method.

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