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 1.0 k=1043 Clustering
clusterdp 1.0 k=2
dc=19.283161667389336
Clustering
AGNES 1.0 method=flexible
metric=euclidean
k=511
Clustering
c-Means 1.0 k=97
m=1.5
Clustering
k-Medoids (PAM) 1.0 k=520 Clustering
DIANA 1.0 metric=euclidean
k=583
Clustering
DBSCAN 1.0 eps=7.713264666955735
MinPts=733
Clustering
Hierarchical Clustering 1.0 method=average
k=502
Clustering
fanny 1.0 k=30
membexp=5.0
Clustering
clusterONE 0.988 s=1
d=0.36666666666666664
Clustering
Affinity Propagation 1.0 dampfact=0.7
preference=86.774227503252
maxits=2000
convits=275
Clustering
Markov Clustering 0.999 I=9.857457457457457 Clustering
Transitivity Clustering 1.0 T=3.7060731132520046 Clustering
MCODE 0.68 v=0.9
cutoff=4.820790416847334
haircut=F
fluff=F
Clustering