Multi-clustering algorithm based on improved tensor chain decomposition
With the advent of the era of big data, the effective representation and analysis of high-level data has become a major challenge. Based on this, the application of tensor decomposition technology in multi-clustering algorithms was focused on especially for the processing of large multi-source heter...
Saved in:
Main Authors: | ZHANG Hongjun, ZHANG Zeyu, ZHANG Yingjiao, YE Hao, PAN Gaojun |
---|---|
Format: | Article |
Language: | Chinese |
Published: |
Beijing Xintong Media Co., Ltd
2025-06-01
|
Series: | Dianxin kexue |
Subjects: | |
Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2025043/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Topology‐aware tensor decomposition for meta‐graph learning
by: Hansi Yang, et al.
Published: (2025-06-01) -
Tensor decomposition based-joint active device detection and channel estimation under frequency offset
by: QU Ruiyun, et al.
Published: (2025-06-01) -
Tensors
by: Vanicek, Petr, 1935-
Published: (1972) -
Generalized Logarithmic Tensor Nuclear Norm for Hyperspectral-Multispectral Image Fusion via Tensor Ring Decomposition
by: Jun Zhang, et al.
Published: (2025-01-01) -
Tensioned Multi-View Ordered Kernel Subspace Clustering
by: Liping Chen, et al.
Published: (2025-06-01)