A Cooperative Spectrum Sensing Method Based on Soft Low-Rank Subspace Clustering
Author:
Affiliation:
1. School of Automation, Guangdong University of Technology, Guangzhou, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/8920/9869776/09772494.pdf?arnumber=9772494
Reference24 articles.
1. Connections Between Nuclear-Norm and Frobenius-Norm-Based Representations
2. Subspace Clustering via Learning an Adaptive Low-Rank Graph
3. An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data
4. Soft subspace clustering with an improved feature weight self-adjustment mechanism
5. HARP: a practical projected clustering algorithm
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