help wantednew feature
倉庫指標
- 星標
- (3,137 顆星)
- PR 合併指標
- (30 天內沒有已合併 PR)
描述
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?