Computes PAC to evaluate clustering stability.
Usage
calc_pac(consensus_result, range_clusters = 2:6, x1 = 0.1, x2 = 0.9)
Arguments
- consensus_result
Result from consensus_cluster().
- range_clusters
Vector of K values to evaluate (default: 2:6).
- x1
Lower bound threshold (default: 0.1).
- x2
Upper bound threshold (default: 0.9).
Value
Data frame with PAC values for each K.