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=23
dc=11.608565141979065
Clustering
AGNES 0.001 method=complete
metric=euclidean
k=507
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=162.51991198770693
MinPts=439
Clustering
Hierarchical Clustering 0.0 method=complete
k=505
Clustering
fanny 0.504 k=217
membexp=5.0
Clustering
clusterONE 0.895 s=1
d=0.6333333333333333
Clustering
Affinity Propagation 0.071 dampfact=0.845
preference=348.256954259372
maxits=4250
convits=500
Clustering
Markov Clustering 0.576 I=1.794894894894895 Clustering
Transitivity Clustering 0.0 T=348.256954259372 Clustering