Clustering of cancer data based on Stiefel manifold for multiple views

Clustering of cancer data based on Stiefel manifold for multiple views

Background: In recent years, various sequencing techniques have been used to collect biomedical omics datasets. It is usually possible to obtain multiple types of omics data from a single patient sample. Clustering of omics data plays an indispensable role in biological and medical research, and it...

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Bibliographic Details
Main Authors: Tian, J. (Author), Zhao, J. (Author), Zheng, C. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
algorithm
Algorithms
Binary optimization
Cancer data
cluster analysis
Cluster Analysis
Clustering algorithms
Clustering problems
Clustering results
data analysis
Data Analysis
Diseases
genetics
human
Humans
K-nearest neighbor method
Linear search algorithm
Linear search algorithms
Multi-view clustering
Nearest neighbor search
neoplasm
Neoplasms
Optimization model
Optimization problems
State-of-art methods
Stiefel manifold
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