Subspace Dimension Reduction for Faster Multiple Signal Classification in Blade Tip Timing.
Zengkun WangZhibo YangHaoqi LiShuming WuShaohua TianXuefeng ChenPublished in: IEEE Trans. Instrum. Meas. (2021)
Keyphrases
- dimension reduction
- principal component analysis
- low dimensional
- high dimensional data
- high dimensional
- feature extraction
- feature space
- high dimensional problems
- feature subspace
- linear projection
- dimensionality reduction
- random projections
- feature selection
- qr decomposition
- high dimensionality
- linear discriminant analysis
- data mining and machine learning
- variable selection
- cluster analysis
- singular value decomposition
- principal components
- manifold learning
- unsupervised learning
- lower dimensional
- discriminative information
- data sets
- computer vision
- subspace learning
- partial least squares
- pattern recognition
- sparse metric learning
- high dimensional data analysis
- subspace clustering
- discriminant analysis
- input data
- preprocessing