Covariate Adaptive Clustering

Implements the predictive k-means method for clustering observations, using a mixture of experts model to allow covariates to influence cluster centers. Motivated by air pollution epidemiology settings, where cluster membership needs to be predicted across space. Includes functions for predicting cluster membership using spatial splines and principal component analysis (PCA) scores using either multinomial logistic regression or support vector machines (SVMs). For method details see Keller et al. (2017) .


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install.packages("predkmeans")

0.1.0 by Joshua Keller, a year ago


Browse source code at https://github.com/cran/predkmeans


Authors: Joshua Keller


Documentation:   PDF Manual  


GPL-3 | file LICENSE license


Imports Rcpp, maxLik, e1071, mgcv

Linking to Rcpp, RcppArmadillo


See at CRAN