TY - UNPB
T1 - Fuzzy voting in clustering
AU - Dimitriadou, Evgenia
AU - Weingessel, Andreas
AU - Hornik, Kurt
PY - 1999
Y1 - 1999
N2 - In this paper we present a fuzzy voting scheme for cluster algorithms. This fuzzy voting method allows us to combine several runs of cluster algorithms resulting in a common fuzzy partition. This helps us to overcome instabilities of the cluster algorithms and results in a better clustering.
AB - In this paper we present a fuzzy voting scheme for cluster algorithms. This fuzzy voting method allows us to combine several runs of cluster algorithms resulting in a common fuzzy partition. This helps us to overcome instabilities of the cluster algorithms and results in a better clustering.
U2 - 10.57938/15962153-106f-4e2f-91d0-2c08916d9652
DO - 10.57938/15962153-106f-4e2f-91d0-2c08916d9652
M3 - WU Working Paper and Case
T3 - Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
BT - Fuzzy voting in clustering
CY - Vienna
ER -