We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Weighted adjacent matrix for K-means clustering.
- Authors
Zhou, Jukai; Liu, Tong; Zhu, Jingting
- Abstract
K-means clustering is one of the most popular clustering algorithms and has been embedded in other clustering algorithms, e.g. the last step of spectral clustering. In this paper, we propose two techniques to improve previous k-means clustering algorithm by designing two different adjacent matrices. Extensive experiments on public UCI datasets showed the clustering results of our proposed algorithms significantly outperform three classical clustering algorithms in terms of different evaluation metrics.
- Subjects
K-means clustering; MATRICES (Mathematics)
- Publication
Multimedia Tools & Applications, 2019, Vol 78, Issue 23, p33415
- ISSN
1380-7501
- Publication type
Article
- DOI
10.1007/s11042-019-08009-x