Compute clustering (Birch)ΒΆ

The option use_hashing=False must be set for the feature extraction. Recommended options also include, use_idf=1, sublinear_tf=0, binary=0.

  • URL: /api/v0/clustering/birch

  • Method: POST URL Params: None

  • Data Params:

    • dataset_id: dataset id
    • n_clusters: the number of clusters
    • lsi_components: (optional) apply LSI with lsi_components before clustering (default None) Only k-means can function without the dimentionality reduction provided by LSI, both “birch” and “ward_hc” require this option to be a positive integer.
    • threshold: The radius of the subcluster obtained by merging a new sample and the closest subcluster should be lesser than the threshold. Otherwise a new subcluster is started. See sklearn.cluster.Birch

  • Success Response: HTTP 200

     {"id": <str>}