Self-Weighted Unsupervised LDA.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3105196
Abstract: As a hot topic in unsupervised learning, clustering methods have been greatly developed. However, the model becomes more and more complex, and the number of parameters becomes more and more with the continuous development of… read more here.
Keywords: self weighted; unsupervised lda; method; weighted unsupervised ... See more keywords
Discriminative Projected Clustering via Unsupervised LDA.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3202719
Abstract: This work focuses on the projected clustering problem. Specifically, an efficient and parameter-free clustering model, named discriminative projected clustering (DPC), is proposed for simultaneously low-dimensional and discriminative projection learning and clustering, from the perspective of… read more here.
Keywords: via unsupervised; projected clustering; unsupervised lda; dpc ... See more keywords