Time series cluster kernels to exploit informative missingness and incomplete label information

•Two novel kernels for multivariate time series with missing data are proposed.•Informative missingness is exploited using mixed mode Bayesian mixture models.•We exploit incomplete label information using ideas from information theory.•A case study of patients suffering from infectious postoperative complications.