Clusteval logo ClustEval clustering evaluation framework
Location: Data Sets » coli_find » Best Parameters
Navigation:
027Hints:

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Program Best quality Parameter set Clustering
Spectral Clustering 0.0 k=419 Clustering
clusterdp 0.876 k=23
dc=0.966658145064526		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=420		 Clustering
c-Means 0.0 k=5
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=419 Clustering
DIANA 0.0 metric=euclidean
k=419		 Clustering
DBSCAN 1.0 eps=0.978782455950153
MinPts=252		 Clustering
Hierarchical Clustering 0.0 method=average
k=418		 Clustering
fanny 0.0 k=93
membexp=1.1		 Clustering
clusterONE 1.0 s=266
d=0.2		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=1.0000000000000002
maxits=4250
convits=275		 Clustering
Markov Clustering 1.0 I=2.4274274274274275 Clustering
Transitivity Clustering 0.0 T=1.0000000000000002 Clustering
MCODE 0.266 v=0.8
cutoff=0.9962111528482418
haircut=T
fluff=T		 Clustering