Adaptive power iteration clustering
Power iteration has been applied to compute the eigenvectors of the similarity matrix in spectral clustering tasks. However, these power iteration based clustering methods usually suffer from the following two problems: (1) the power iteration usually converges very slowly; (2) the singular value de...
Main Authors: | Liu, Bo, Liu, Yong, Zhang, Huiyan, Xu, Yonghui, Tang, Can, Tang, Lianggui, Qin, Huafeng, Miao, Chunyan |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/156037 |
Similar Items
-
PolSAR Image Classification Method Based on Markov Discriminant Spectral Clustering
by: ZHANG Xiangrong, et al.
Published: (2019-08-01) -
CONIC: Contour Optimized Non-Iterative Clustering Superpixel Segmentation
by: Cheng Li, et al.
Published: (2021-03-01) -
Fair Method for Spectral Clustering to Improve Intra-cluster Fairness
by: XU Xia, ZHANG Hui, YANG Chunming, LI Bo, ZHAO Xujian
Published: (2023-02-01) -
Ocean Front Reconstruction Method Based on K-Means Algorithm Iterative Hierarchical Clustering Sound Speed Profile
by: Yuyao Liu, et al.
Published: (2021-11-01) -
Optimized Design for NB-LDPC-Coded High-Order CPM: Power and Iterative Efficiencies
by: Rui Xue, et al.
Published: (2020-08-01)