Clusteval logo ClustEval clustering evaluation framework
Location: Data Sets » coli_state » 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 1.0 k=190 Clustering
clusterdp 0.33 k=25
dc=0.8916076774870505		 Clustering
AGNES 1.0 method=ward
metric=euclidean
k=169		 Clustering
c-Means 1.0 k=19
m=1.5		 Clustering
k-Medoids (PAM) 1.0 k=188 Clustering
DIANA 1.0 metric=euclidean
k=171		 Clustering
DBSCAN 0.0 eps=0.9357675125849189
MinPts=139		 Clustering
Hierarchical Clustering 1.0 method=average
k=169		 Clustering
fanny 1.0 k=63
membexp=1.1		 Clustering
clusterONE 0.0 s=133
d=0.0		 Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=1.0000000000000002
maxits=4250
convits=500		 Clustering
Markov Clustering 0.0 I=1.2425425425425427 Clustering
Transitivity Clustering 1.0 T=0.999758887059253 Clustering
MCODE 0.789 v=0.9
cutoff=0.994981836920697
haircut=T
fluff=T		 Clustering