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 0.217 k=3 Clustering
clusterdp 0.235 k=4
dc=0.9575649119003058		 Clustering
AGNES 0.241 method=flexible
metric=euclidean
k=13		 Clustering
c-Means 0.231 k=4
m=1.5		 Clustering
k-Medoids (PAM) 0.244 k=4 Clustering
DIANA 0.244 metric=euclidean
k=18		 Clustering
DBSCAN 0.221 eps=0.9090676683577977
MinPts=420		 Clustering
Hierarchical Clustering 0.237 method=complete
k=73		 Clustering
fanny 0.254 k=42
membexp=5.0		 Clustering
clusterONE 0.221 s=1
d=0.5		 Clustering
Affinity Propagation 0.256 dampfact=0.9175
preference=0.9545338341788989
maxits=2750
convits=275		 Clustering
Markov Clustering 0.221 I=1.2425425425425427 Clustering
Transitivity Clustering 0.235 T=0.9809761188055854 Clustering
MCODE 0.23 v=0.8
cutoff=0.9962111528482418
haircut=F
fluff=F		 Clustering