607 citations · 782 across the 6 of their papers we have counts for
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cs.LG2016★ 607 cited
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos +1
Most learning approaches treat dimensionality reduction (DR) and clustering separately (i.e., sequentially), but recent research has shown that optimizing the two tasks jointly can…
stat.ML2016★ 105 cited
Robust Volume Minimization-Based Matrix Factorization for Remote Sensing and Document Clustering
Xiao Fu, Kejun Huang, Bo Yang +2
This paper considers \emph{volume minimization} (VolMin)-based structured matrix factorization (SMF). VolMin is a factorization criterion that decomposes a given data matrix into a…
cs.LG2016★ 53 cited
Learning From Hidden Traits: Joint Factor Analysis and Latent Clustering
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos
Dimensionality reduction techniques play an essential role in data analytics, signal processing and machine learning. Dimensionality reduction is usually performed in a preprocessi…