A self-training subspace clustering algorithm based on adaptive confidence for gene expression data.
Release Time:2025-11-26 Hits:
Date of Publication: 2024-06-15
Journal: Frontiers in genetics
Volume: 14
Page Number: 1132370
ISSN: 1664-8021
Key Words: adaptive adjustment; gene expression data; gravitational search algorithm; label confidence; self-training; subspace clustering
Prev One:Joint Learning of Spectral Clustering and Low-Rank Representation Based on Precise Segmentation Cost for Cancer Subtype Identification
Next One:MSC-CSMC: A multi-objective semi-supervised clustering algorithm based on constraints selection and multi-source constraints for gene expression data.