Description

Performs KMeans or DBSCAN clustering on a sample-by-feature numeric matrix (e.g. principal components, embeddings)

Input

Name
Description
Pattern

0 ()

1 ()

algorithm (string)

Clustering algorithm to use (kmeans or dbscan)

n_clusters (integer)

Number of clusters for KMeans

dbscan_eps (float)

Epsilon parameter for DBSCAN

dbscan_min_samples (integer)

Minimum samples parameter for DBSCAN

Output

Name
Description
Pattern

0 ()

0 ()

0 ()

Tools

scikit-learn Documentation

Machine learning library for clustering

License: BSD-3-Clause
Authors