The study of clustering and classification of uncertain data addresses the challenges posed by imprecise, noisy, or inherently probabilistic measurements common in many modern data acquisition ...

Clustering and classification represent the opportunity to apply categorical reasoning to vast data contexts we would otherwise find overwhelming.

Pawel Netzel, Tomasz Stepinski, On Using a Clustering Approach for Global Climate Classification, Journal of Climate, Vol. 29, No. 9 (1 May 2016), pp. 3387-3401 ...

CARTA, Clustering-Aided Rapid Training Agent, universal and self-learning bioimage classification software; applicable to high-speed diagnostic imaging Diverse imaging technologies are widely used ...

The model based on Gaussian process (GP) prior and a kernel covariance function can be used to fit nonlinear data with multidimensional covariates. It has been used as a flexible nonparametric ...