scikit-learn-contrib/hdbscan

Introduce sample weighting in HDBSCAN

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#148 opened on 2017/12/05

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説明

Like for DBSCAN it would be very useful to also have the possibility to use a "sample_weight" parameter when performing HDBSCAN clustering trough the fit method. This to take into account possible presence of data containing element duplicates.

DBSCAN is just using sample_weight in the following way:

n_neighbors = np.array([np.sum(sample_weight[neighbors]) for neighbors in neighborhoods])

do you know if this is already planned at same time or not?

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