COPS: A novel platform for multi-omic disease subtype discovery via robust multi-objective evaluation of clustering algorithms
Fig 5
Multi-objective clustering result evaluation.
Each point represents a clustering result obtained using different methods and numbers of clusters. The x and y axis represent the median survival p-value and clustering stability Jaccard index calculated across resampled datasets. The line connects the set of non-dominated results.