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 0.547 k=489 Clustering
clusterdp 0.747 k=2
dc=127.69421656176972
Clustering
AGNES 0.001 method=flexible
metric=euclidean
k=500
Clustering
c-Means 0.459 k=491
m=1.5
Clustering
k-Medoids (PAM) 0.0 k=503 Clustering
DIANA 0.0 metric=euclidean
k=501
Clustering
DBSCAN 0.074 eps=174.128477129686
MinPts=490
Clustering
Hierarchical Clustering 0.0 method=complete
k=507
Clustering
fanny 0.504 k=217
membexp=5.0
Clustering
clusterONE 0.895 s=1
d=0.26666666666666666
Clustering
Affinity Propagation 0.071 dampfact=0.9175
preference=348.256954259372
maxits=4250
convits=200
Clustering
Markov Clustering 0.576 I=1.794894894894895 Clustering
Transitivity Clustering 0.0 T=348.256954259372 Clustering