Mock example of a snf_config metasnf object
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.