| Step | Fast | Description |
|---|---|---|
| association_rules | Calculate association rules for a items/products in a dataset of transactions | |
| cluster_dataset | Identify clusters in the dataset | |
| cluster_embeddings | Identify clusters using the distance between provided embeddings | |
| cluster_network | ⚡ | Identify clusters in the network |
| cluster_subnetwork | ⚡ | Identify clusters in the network by filtering the input dataset |
| extract_node_betweenness | Calculate network node betweenness | |
| extract_node_closeness | Calculcate network node closeness | |
| extract_node_degree | Calculate network node degrees | |
| extract_node_pagerank | Calculate network node pagerank | |
| layout_coordinates | ⚡ | Create x, y positions for nodes from their geographical coordinates |
| layout_dataset | Reduce the dataset to 2 dimensions that can be mapped to x/y node positions | |
| layout_igraph | Calculate layout, i.e. node positions, for a network | |
| layout_network | ⚡ | Compute a force-directed graph layout with a fast forceAtlas2 implementation |
| layout_treemap | Place nodes on the screen using a treemap layout | |
| link_embeddings | Create network links between rows/nodes calculating the similarity of embeddings (vectors) | |
| link_grouped_embeddings | Create network links calculating the similarity of embeddings (vectors) within groups | |
| link_rows | Create network links using explicit lists of target IDs, weights and other link attributes | |
| link_rows_by_id | Create network links using one or more lists of target ids | |
| link_rows_by_rownum | Create network links using explicit lists of target row numbers and optional weights | |
| link_sequence_items | Create network links between consecutive pairs in a column of sequences | |
| link_session_items | Link items (e.g. products) in sessions (baskets) if one item makes the presence of the other in the same session more … | |
| link_similar_columns | Calculates all pair-wise column dependencies (by default mutual information) | |
| link_similar_rows | Create network links calculating similarity between multidimensional and multitype documents |
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