Algorithm details

Backend
Algorithm KMeans Mini-Batch KMeans Agglomerative clustering Spectral clustering DBSCAN HDBSCAN KMeans
Number of clusters
Number of tested initial centroids
Epsilon
Min. sample ratio
Min. cluster size ratio
Affinity measure
Gamma
Coef0
Number of trees
Contamination auto
Max sample proportion
Use bootstrap
Max feature proportion
Anomalies to display
Seed
Allow sparse matrices

Training data

Rows (before preprocessing) Rows (after preprocessing)
Columns (before preprocessing) Columns (after preprocessing)
Matrix type {{modelData.iperf.modelInputIsSparse ? 'sparse' : 'dense'}} Estimated memory usage

Code