A general framework for scalable spectral clustering based on document models

Author:

Chen Guangliang

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference22 articles.

1. C. Aggarwal, C. Zhai, A Survey of Text Clustering Algorithms, Springer US, Boston, MA, pp. 77–128.

2. Laplacian eigenmaps for dimensionality reduction and data representation;Belkin;Neural Comput.,2003

3. Large scale spectral clustering via landmark-based sparse representation;Cai;IEEE Trans. Cybern.,2015

4. A scalable spectral clustering algorithm based on landmark-embedding and cosine similarity;Chen,2018

5. Scalable spectral clustering with cosine similarity;Chen,2018

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