Fast Constrained Spectral Clustering and Cluster Ensemble with Random Projection
Joint Authors
Ye, Mao
Liu, Wenfen
Wei, Jianghong
Hu, Xuexian
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-09-25
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Constrained spectral clustering (CSC) method can greatly improve the clustering accuracy with the incorporation of constraint information into spectral clustering and thus has been paid academic attention widely.
In this paper, we propose a fast CSC algorithm via encoding landmark-based graph construction into a new CSC model and applying random sampling to decrease the data size after spectral embedding.
Compared with the original model, the new algorithm has the similar results with the increase of its model size asymptotically; compared with the most efficient CSC algorithm known, the new algorithm runs faster and has a wider range of suitable data sets.
Meanwhile, a scalable semisupervised cluster ensemble algorithm is also proposed via the combination of our fast CSC algorithm and dimensionality reduction with random projection in the process of spectral ensemble clustering.
We demonstrate by presenting theoretical analysis and empirical results that the new cluster ensemble algorithm has advantages in terms of efficiency and effectiveness.
Furthermore, the approximate preservation of random projection in clustering accuracy proved in the stage of consensus clustering is also suitable for the weighted k-means clustering and thus gives the theoretical guarantee to this special kind of k-means clustering where each point has its corresponding weight.
American Psychological Association (APA)
Liu, Wenfen& Ye, Mao& Wei, Jianghong& Hu, Xuexian. 2017. Fast Constrained Spectral Clustering and Cluster Ensemble with Random Projection. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1139854
Modern Language Association (MLA)
Liu, Wenfen…[et al.]. Fast Constrained Spectral Clustering and Cluster Ensemble with Random Projection. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1139854
American Medical Association (AMA)
Liu, Wenfen& Ye, Mao& Wei, Jianghong& Hu, Xuexian. Fast Constrained Spectral Clustering and Cluster Ensemble with Random Projection. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1139854
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139854