Multi-Omics Data Clustering via the Guidance of Highly Correlated Features.
Bin ZhangHongmin CaiPublished in: BIBM (2021)
Keyphrases
- data clustering
- highly correlated
- unsupervised feature selection
- clustering algorithm
- high correlation
- average precision
- unsupervised learning
- high dimensionality
- feature extraction
- cluster analysis
- computer vision
- pairwise
- feature space
- data sets
- statistically significant
- semantic information
- k means
- feature vectors