Salience-Aware Adaptive Resonance Theory for Large-Scale Sparse Data Clustering
10.1016/j.neunet.2019.09.014
Saved in:
Main Authors: | Lei Meng, Ah-Hwee Tan, Chunyan Miao |
---|---|
Other Authors: | DEPARTMENT OF COMPUTER SCIENCE |
Format: | Article |
Published: |
2020
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/167768 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Salience-aware adaptive resonance theory for large-scale sparse data clustering
by: MENG, Lei, et al.
Published: (2019) -
Adaptive scaling of cluster boundaries for large-scale social media data clustering
by: MENG, Lei, et al.
Published: (2015) -
Low-rank sparse subspace for spectral clustering
by: ZHU, Xiaofeng, et al.
Published: (2019) -
Structured Bayesian learning for recovery of clustered sparse signal
by: Wang, Lu, et al.
Published: (2022) -
Pairwise sparsity preserving embedding for unsupervised subspace learning and classification
by: Zhang, Z., et al.
Published: (2014)