Clusteval logo ClustEval clustering evaluation framework

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Program Best quality Parameter set Clustering
Spectral Clustering 0.074 k=340 Clustering
clusterdp 0.375 k=350
dc=88.70254366999094
Clustering
AGNES 0.418 method=weighted
metric=euclidean
k=275
Clustering
c-Means 0.119 k=371
m=1.5
Clustering
k-Medoids (PAM) 0.222 k=341 Clustering
DIANA 0.211 metric=euclidean
k=470
Clustering
DBSCAN 0.034 eps=111.84233767085814
MinPts=768
Clustering
Hierarchical Clustering 0.418 method=single
k=278
Clustering
fanny 0.129 k=348
membexp=5.0
Clustering
clusterONE 0.17 s=1
d=0.3
Clustering
Affinity Propagation 0.205 dampfact=0.7
preference=0.0
maxits=3500
convits=425
Clustering
Markov Clustering 0.332 I=1.402902902902903 Clustering
Transitivity Clustering 0.418 T=1.8530365566260023 Clustering
MCODE 0.019 v=0.9
cutoff=4.820790416847334
haircut=F
fluff=F
Clustering