A novel unsupervised feature learning architecture using multi-clustering integration and MIRBM.
problem Feature learning without labeled data.
method Multi-clustering integration module with MIRBM, using K-means, affinity propagation, and spectral clustering.
result The proposed architecture outperforms state-of-the-art methods in clustering tasks.