Co-Adjustment Learning for Co-Clustering
Sign Up to like & getrecommendations! Published in 2021 at "Cognitive Computation"
DOI: 10.1007/s12559-021-09827-8
Abstract: Co-clustering simultaneously performs clustering on the sample and feature dimensions of the data matrix, so it can obtain better insight into the data than traditional clustering. Adjustment learning extracts valuable information from chunklets for unsupervised… read more here.
Keywords: clustering adjustment; framework; adjustment; adjustment learning ... See more keywords
Trajectory clustering with adjustment for time-varying covariate effects
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Nonparametric Statistics"
DOI: 10.1080/10485252.2024.2358435
Abstract: In this paper, we propose a penalized regression method to detect subgroups of trajectories while accounting for the time-varying effects of given covariates. Specifically, we allow both the latent heterogeneous trajectories and the covariate effects… read more here.
Keywords: covariate effects; time; trajectory clustering; time varying ... See more keywords