analyze_moc_datasets {bootcluster} | R Documentation |
Multi-Method Ensemble Clustering Analysis for Multiple-Objective Clustering (MOC) Datasets
Description
Performs ensemble clustering analysis on multiple datasets using different clustering methods and compares their performance.
Usage
analyze_moc_datasets(
datasets,
selected,
n_ref = 3,
B = 100,
plot = TRUE,
plot_file = NULL
)
Arguments
datasets |
List of datasets to analyze |
selected |
Indices of datasets to analyze |
n_ref |
Number of reference distributions (default: 3) |
B |
Number of bootstrap samples (default: 100) |
plot |
Whether to generate plots (default: TRUE) |
plot_file |
Output file for plots (default: NULL) |
Value
A list containing:
- results
Results for each dataset
- ari_table
Adjusted Rand Index comparison table
- runtime_table
Runtime comparison table
- plots
List of generated plots if plot=TRUE
[Package bootcluster version 0.4.2 Index]