bsxplorer.Clusters.ClusterMany.kmeans

ClusterMany.kmeans(n_clusters: int = 8, n_init: int = 10, **kwargs)[source]

KMeans clustering on sample regions. Clustering is being made with sklearn.cluster.KMeans.

Parameters:

  • n_clusters – The number of clusters to generate.

  • n_init – Number of times the k-means algorithm is run with different centroid seeds.

  • kwargs –

    See sklearn.cluster.KMeans.

Return type:

ClusterPlot