Summary method for pseudolabels objects
Usage
# S3 method for class 'pseudolabels'
summary(object, ...)Examples
# \donttest{
sim_mat <- Matrix::sparseMatrix(
i = c(1,2,1,3,2,3), j = c(2,1,3,1,3,2),
x = c(0.9,0.9,0.8,0.8,0.7,0.7), dims = c(5,5)
)
pl <- assign_pseudolabels(sim_mat, min_clusters = 1, min_cluster_size = 1)
summary(pl)
#> Pseudolabeling Summary
#> ======================
#> Pseudolabeling Results
#> ======================
#> Algorithm: assign_pseudolabels
#> Diversity method: greedy (weight: 0.3)
#> Samples: 5
#> Assigned: 5 (100%)
#> Clusters found: 4
#> Threshold used: 0.9
#>
#> Cluster Summary:
#> Size range: 1 - 2
#> Mean size: 1.2
#> Observed similarity: 0.9-0.9 (mean: 0.9)
#>
#> Detailed Cluster Information:
#> cluster_id representative size avg_similarity observed_similarity
#> 1 1 1 2 0.9 0.9
#> 2 2 3 1 NA NA
#> 3 3 4 1 NA NA
#> 4 4 5 1 NA NA
#> edge_density
#> 1 1
#> 2 NA
#> 3 NA
#> 4 NA
# }