Unsupervised embedded feature learning for deep clustering with stacked sparse auto-encoder

Author:

Cai JinyuORCID,Wang Shiping,Guo Wenzhong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference46 articles.

1. Feature selection for clustering: A review;Alelyani,2018

2. A modified bond energy algorithm with fuzzy merging and its application to arabic text document clustering;AlMahmoud;Expert Systems with Applications,2020

3. Large scale spectral clustering via landmark-based sparse representation;Cai;IEEE Transactions on Cybernetics,2014

4. BorderShift: toward optimal MeanShift vector for cluster boundary detection in high-dimensional data;Cao;Pattern Analysis and Applications,2019

5. Caron, M., Bojanowski, P., Joulin, A., & Douze, M. (2018). Deep clustering for unsupervised learning of visual features. In Proceedings of the European Conference on Computer Vision (pp. 132–149).

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