-mer count matrix dimension reduction.
Haoliang XueMélina GallopinCamille MarchetHa N. NguyenYunfeng WangAntoine LainéChloé BessiereDaniel GautheretPublished in: Bioinform. (2024)
Keyphrases
- dimension reduction
- singular value decomposition
- similarity matrix
- qr decomposition
- principal component analysis
- feature extraction
- data mining and machine learning
- random projections
- singular values
- variable selection
- manifold learning
- dimensionality reduction
- linear discriminant analysis
- high dimensional problems
- feature space
- low dimensional
- high dimensional data
- high dimensional
- cluster analysis
- high dimensionality
- low rank
- discriminative information
- preprocessing
- feature selection
- dimension reduction methods
- unsupervised learning
- partial least squares
- high dimensional data analysis
- covariance matrix
- decomposition method
- null space
- discriminant analysis
- projection matrix
- bayesian networks
- data sets