neginc: Neg-entropy normality index for cluster validation
Description
Cluster validity index based on the neg-entropy distances of
within-cluster distributions to normal distribution, see
Lago-Fernandez and Corbacho (2010).
Usage
neginc(x,clustering)
Arguments
x
something that can be coerced into a numerical
matrix. Euclidean dataset.
clustering
vector of integers with length =nrow(x);
indicating the cluster for each observation.
Value
Index value, see
Lago-Fernandez and Corbacho (2010). The lower (i.e., the more
negative) the better.
References
Lago-Fernandez, L. F. and Corbacho, F. (2010) Normality-based
validation for crisp clustering. Pattern Recognition 43, 782-795.