Extremal sizes of subspace partitions.
Olof HedenJuliane LehmannEsmeralda NastasePapa A. SissokhoPublished in: Des. Codes Cryptogr. (2012)
Keyphrases
- low dimensional
- subspace clustering
- subspace learning
- feature space
- principal component analysis
- graph theory
- data sets
- clustering algorithm
- principal components
- kernel based nonlinear
- clustering high dimensional data
- subspace methods
- principal components analysis
- lower dimensional
- small size
- high dimensional data
- dimensionality reduction
- high dimensional
- machine learning
- linear combination
- multiscale
- decision trees
- real time