A Nyström spectral clustering algorithm based on probability incremental sampling
- 2 May 2016
- journal article
- research article
- Published by Springer Nature in Soft Computing
- Vol. 21 (19) , 5815-5827
Abstract
No abstract availableKeywords
Funding Information
- The National Natural Science Foundation of China (61379101)
- The National Key Basic Research Program of China (2013CB329502)
This publication has 21 references indexed in Scilit:
- Region-based approach for the spectral clustering Nyström approximation with an application to burn depth assessmentMachine Vision and Applications, 2015
- Image segmentation using modified SLIC and Nyström based spectral clusteringOptik, 2014
- Efficient eigen-updating for spectral graph clusteringNeurocomputing, 2014
- Local information-based fast approximate spectral clusteringPattern Recognition Letters, 2013
- Sparse spectral clustering method based on the incomplete Cholesky decompositionJournal of Computational and Applied Mathematics, 2013
- Low-rank incremental methods for computing dominant singular subspacesLinear Algebra and its Applications, 2012
- Parallel Spectral Clustering in Distributed SystemsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2010
- Spectral methods in machine learning and new strategies for very large datasetsProceedings of the National Academy of Sciences, 2009
- Fast monte-carlo algorithms for finding low-rank approximationsJournal of the ACM, 2004
- Spectral grouping using the nystrom methodIEEE Transactions on Pattern Analysis and Machine Intelligence, 2004