mock_snf_config: Mock example of a 'snf_config' metasnf object

In metasnf: Meta Clustering with Similarity Network Fusion

Mock example of a snf_config metasnf object

Description

Mock example of a snf_config metasnf object

Usage

mock_snf_config

Format

mock_snf_config

An SNF config containing hyperparameters and functions defined for generating 20 cluster solutions from a data list. The config has been specified to: - limit the k hyperparameter to 40 - make use of uniformly distributed random weights - randomly select between using spectral clustering where the number of clusters can be 2, 5, decided by the eigen-gap heuristic, or decided by the rotation cost heuristic - use Gower distance for categorical and mixed data, Euclidean distance for ordinal data, and randomly select from Euclidean distance or standard/normalized Euclidean distance for continuous and discrete data The config was built using the mock_data_list loaded into the namespace after calling library("metasnf"). Used as an example of an snf_config metasnf object.

Source

This data comes from the metasnf package.

metasnf documentation built on June 8, 2025, 12:47 p.m.