cvnn: Cluster validation based on nearest neighbours
Description
Cluster validity index based on nearest neighbours as defined in Liu
et al. (2013) with a correction explained in Halkidi et al. (2015).
Usage
cvnn(d=NULL,clusterings,k=5)
Arguments
d
dissimilarity matrix or dist-object.
clusterings
list of vectors of integers with length =nrow(d);
indicating the cluster for each observation for several clusterings
(list elements) to be compared.
k
integer. Number of nearest neighbours.
Value
List with components (see Liu et al. (2013), Halkidi et al. (2015) for
details)
cvnnindex
vector of index values for the various clusterings,
see Liu et al. (2013), the lower the better.
sep
vector of separation values.
comp
vector of compactness values.
References
Halkidi, M., Vazirgiannis, M. and Hennig, C. (2015) Method-independent
indices for cluster validation. In C. Hennig, M. Meila, F. Murtagh,
R. Rocci (eds.) Handbook of Cluster Analysis, CRC
Press/Taylor & Francis, Boca Raton.
Liu, Y, Li, Z., Xiong, H., Gao, X., Wu, J. and Wu, S. (2013)
Understanding and enhancement of internal clustering validation
measures. IEEE Transactions on Cybernetics 43, 982-994.