Two-sample mean vector projection test in high-dimensional data.
Caizhu HuangXia CuiEuloge Clovis Kenne PaguiPublished in: Comput. Stat. (2024)
Keyphrases
- high dimensional data
- dimensionality reduction
- distance preserving
- nearest neighbor
- low dimensional
- high dimensional
- data sets
- high dimensions
- high dimensionality
- subspace clustering
- clustering high dimensional data
- data analysis
- similarity search
- data distribution
- data points
- dimension reduction
- input space
- lower dimensional
- dimensional data
- linear discriminant analysis
- high dimensional data sets
- sparse representation
- high dimensional spaces
- original data
- low rank
- feature vectors
- high dimensional datasets
- subspace learning
- neural network
- principal component analysis
- text data
- manifold learning
- vector space
- feature selection
- training set
- computer vision
- knn
- machine learning
- input data